notebooks/0.4.1-pcoa-biplot.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import seaborn as sns, pandas as pd, numpy as np, os, qiime2 as q2, skbio as sb\n",
    "from matplotlib.pylab import plt\n",
    "\n",
    "load_mf = lambda x: q2.Metadata.load(x).to_dataframe()\n",
    "\n",
    "from biom import Table\n",
    "from skbio.stats.ordination import pcoa, pcoa_biplot\n",
    "from emperor import nbinstall, Emperor\n",
    "from scipy.spatial.distance import euclidean\n",
    "\n",
    "nbinstall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/yoshikivazquezbaeza/Documents/PDF/KnightLaboratory/HastyWater/trimmed-150nts\n"
     ]
    }
   ],
   "source": [
    "cd trimmed-150nts/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "mf = load_mf('mapping-file.alpha.tsv')\n",
    "\n",
    "dm = q2.Artifact.load('unweighted.unifrac.dm.qza').view(sb.DistanceMatrix)\n",
    "\n",
    "table = q2.Artifact.load('feature-table.even.18813.normalized.qza').view(pd.DataFrame)\n",
    "table = table.divide(table.sum(axis=1), 'rows')\n",
    "\n",
    "taxonomy = q2.Artifact.load('taxonomy.qza').view(pd.DataFrame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def from_frame(row):\n",
    "    ret = row.Taxon.split(';')\n",
    "    ret = ret + ([''] * (7 - len(ret))) \n",
    "    \n",
    "    return pd.Series(ret, index=['kingdom', 'phylum', 'class', 'order', 'family', 'genus', 'species'])\n",
    "\n",
    "feature_mf = taxonomy.apply(from_frame, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = pcoa_biplot(pcoa(dm), table)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = res.features.copy()\n",
    "features['importance'] = features.apply(lambda x: euclidean(np.zeros_like(x), x), axis=1)\n",
    "features.sort_values('importance', inplace=True, ascending=False)\n",
    "features.drop(['importance'], inplace=True, axis=1)\n",
    "\n",
    "res.features = features[:20].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  var data = {\"biplot\": {\"decomposition\": {\"axes_names\": [\"PC1\", \"PC2\", \"PC3\", \"PC4\", \"PC5\"], \"ci\": [], \"coordinates\": [[-0.758190386832814, 0.17946813190428665, 0.3272349788605391, 1.0, 0.5771018108646842], [0.8052586872444274, 0.09831583491542649, 0.04339372291961687, 0.45675143724722034, -0.2518242911511429], [0.26277936466978064, 0.621017020300499, 0.44744955476037807, -0.20357692054050605, 0.49986182966070025], [-0.45538411504287357, 0.06929881945433204, 0.16067819254952498, 0.5775996819733497, 0.314208856183224], [-0.4330912078426745, 0.07619212252598512, 0.14666626399035523, 0.5616131254003486, 0.2814627071153446], [-0.30018095539620293, -0.00928139220026155, -0.004014870294316953, 0.36045691932103624, 0.19783851304843347], [-0.31143451073120726, 0.01552502645169424, 0.0722092013177622, 0.41971792367252786, 0.23971651926810741], [-0.40013781342914123, -0.39469432118712644, -0.3013799156089819, -0.24427364074513494, 0.2105222073030666], 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-0.16553664269361848, -0.18210008344948872, 0.27707575021748265, -0.23575772289909405], [0.05753916035177967, 0.3649975218604224, 0.4567413777194115, -0.20166127492039354, -0.31260542327834556], [-0.4018733701741611, -0.35527665567965466, -0.24391935523574135, -0.23254013548934507, 0.06809604154719415]], \"edges\": [], \"percents_explained\": [9.73153782740543, 3.764447102911228, 2.866466976178419, 2.125890988552553, 1.8386086444124163], \"sample_ids\": [\"CCTACGGGGGGCAGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"CCTACGGGGGGCAGCAGTGGGGAATCATGGTCAATGGGCGAAAGCCTGAACCTGCGACGCCGCGTGAGTGATGAAGGTCGTAAGATCGTAAAACTCTTTTCAGGGATCTTAAAGCCTGTCTGTCAACAACAGGCAGGTCTGACTCTCCCT\", \"CCTACGGGGGGCAGCAATTAGGAATCTTGCGCAATGGGGGCAACCCTGACGCAGCGACACAGCGTGGAGGATGAAGGTCTTCGGATTGTAAACTCCTTTTATATGGGAAGAATAGATGACTGTACCATATGAATAAGTACCTGCTAACTA\", \"CCTACGGGAGGCAGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"CCTACGGGGGGCTGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"CCTACGGGAGGCTGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"CCTACGGGTGGCAGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"CCTACGGGGGGCAGCAGTGGGGAATATTGCACAATGGACGAAAGTCTGATGCAGCAACGCCGCGTGGAGGATGACACATTTCGGTGCGTAAACTCCTTTTATATGAGAAGATAATGACGGTATTATATGAATAAGCACCGGCTAACTCCG\", \"CCTACGGGGGGCTGCAGTGGGGAATCATGGTCAATGGGCGAAAGCCTGAACCTGCGACGCCGCGTGAGTGATGAAGGTCGTAAGATCGTAAAACTCTTTTCAGGGATCTTAAAGCCTGTCTGTCAACAACAGGCAGGTCTGACTCTCCCT\", \"CCTACGGGGGGCAGCAGTAGGGAATCTTCGGCAATGGGGGGAACCCTGACCGAGCAACGCCGCGTGAGTGAAGAAGGTTTTCGGATCGTAAAGCTCTGTTGTAAGAGAAGAACGTGTGTGAGAGTGGAAAGTTCACACAGTGACGGTAAC\", \"CCTACGGGGGGCAGCAGTGGGGAATATTACACAATGGAGGAAACTCTGATGTAGCAACGCCGCGTGGAGGATGACACATTTCGGTGCGTAAACTCCTTTTATGTGAGAAGATAATGACGGTATCACATGAATAAGCACCGGCTAACTCCG\", \"CCTACGGGGGGCAGCAGTGAGGAATATTGCACAATGGGGGTAACCCTGATGCAGCAACGCCGCGTGTACGACGAATCAGTTTATCTGTGTAAAGTACTGTTAACCGGGACGAAAAGACGTATGATCTACGTTTATATGACGGTACCGGTA\", \"CCTACGGGGGGCAGCAGTGGGGAATATTGCGCAATGGGGGAAACCCTGACGCAGCAACGCCGCGTGAAGGATGAAGGTTTTCGGATTGTAAACTTCTTTGATTGGGGACGATAATGACGGTACCCAAAAAACAAGCCACGGCTAACTACG\", \"CCTACGGGGGGCAGCAGTAGGGAATTTTCGGCAATGGGGGGAACCCTGACCGAGCAATGCCGCGTGAACGATGAAGGTCTTCGGATTGTAAAGTTCTGTCAATGGGGAAGAATGGTCCGCGGAGTGGAAAGCCGCGGGCGTGACGGTACC\", \"CCTACGGGAGGCAGCAGTGGGGAATATTGCACAATGGACGAAAGTCTGATGCAGCAACGCCGCGTGGAGGATGACACATTTCGGTGCGTAAACTCCTTTTATATGAGAAGATAATGACGGTATTATATGAATAAGCACCGGCTAACTCCG\", \"CCTACGGGGGGCAGCAGGCGCGAAAACTTTACAATGCCGGCAACGGCGATAAGGGGACCTCGAGTGCCAGGTTACAAATCTGGCTGTCGTGATGCCTAAAAAGCATTGCATAGCAAGGGCCGGGCAAGACCGGTGCCAGCCGCCGCGGTA\", \"CCTACGGGAGGCAGCAATTAGGAATCTTGCGCAATGGGGGCAACCCTGACGCAGCGACACAGCGTGGAGGATGAAGGTCTTCGGATTGTAAACTCCTTTTATATGGGAAGAATAGATGACTGTACCATATGAATAAGTACCTGCTAACTA\", \"CCTACGGGAGGCTGCAGTGGGGAATCATGGTCAATGGGCGAAAGCCTGAACCTGCGACGCCGCGTGAGTGATGAAGGTCGTAAGATCGTAAAACTCTTTTCAGGGATCTTAAAGCCTGTCTGTCAACAACAGGCAGGTCTGACTCTCCCT\", \"CCTACGGGGGGCAGCAGTAGGGAATATTGGTTAATGTGCGAAAGCGCGAACCAGCAACGCCGCGTGTGCGATGAAGGCCTTCGGGTCGTAAAGCACTTTTTGCAGGGACGAGGAAGGACGGTACCTGCAGAATAAGTCTCGGCTAACTAC\", \"CCTACGGGGGGCAGCAGTGAGGAATATTGGTCAATGGGTGCAAGCCTGAACCAGCCATCCCGCGTGAAGGACGACTGCCCTATGGGTTGTAAACTTCTTTTGTATAGGGATAAACCTACCCTCGTGAGGGTAGCTGAAGGTACTATACGA\"]}, \"metadata\": [[\"CCTACGGGGGGCAGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"k__Bacteria\", \"\", \"\", \"\", \"\", \"\", 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[\"CCTACGGGAGGCTGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"k__Bacteria\", \"\", \"\", \"\", \"\", \"\", \"\"], [\"CCTACGGGTGGCAGCAGTGGGGAATATTGGGCAATGGGCGAAAGCCTGACCCAGCAACGCCGCGTGAAGGATGAAGGTCTTCGGATTGTAAACTTCTTTGATTAGGGAAGAATTTTTGACCTACCTAAAGAACAAGTCACGGCTAACTAC\", \"k__Bacteria\", \"\", \"\", \"\", \"\", \"\", \"\"], [\"CCTACGGGGGGCAGCAGTGGGGAATATTGCACAATGGACGAAAGTCTGATGCAGCAACGCCGCGTGGAGGATGACACATTTCGGTGCGTAAACTCCTTTTATATGAGAAGATAATGACGGTATTATATGAATAAGCACCGGCTAACTCCG\", \"k__Bacteria\", \" p__Proteobacteria\", \" c__Epsilonproteobacteria\", \" o__Campylobacterales\", \" f__Campylobacteraceae\", \" g__Arcobacter\", \"\"], [\"CCTACGGGGGGCTGCAGTGGGGAATCATGGTCAATGGGCGAAAGCCTGAACCTGCGACGCCGCGTGAGTGATGAAGGTCGTAAGATCGTAAAACTCTTTTCAGGGATCTTAAAGCCTGTCTGTCAACAACAGGCAGGTCTGACTCTCCCT\", \"k__Bacteria\", \" p__Caldiserica\", \" c__WCHB1-03\", \" o__\", \" f__\", \" g__\", \" s__\"], 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[\"11282.d3.2\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D3-2_S43_L001_R1_001\", \"3571.0\", \"496\", \"72.8\", \"2136\", \"GAZ:United States of America\", \"2.0\", \"Friday\", \"TRUE\", \"ENVO:urban biome\", \"Digester3\", \"32.875245\", \"-117.240135\", \"10.3\", \"176\", \"6.79\", \"96\", \"147.04\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"75\", \"2498\", \"Digester3\", \"2466.0\", \"9.149334966199246\", \"228.249198645348\"], [\"11282.d3.11\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D3-11_S52_L001_R1_001\", \"3571.0\", \"Missing: Not collected\", \"Missing: Not collected\", \"1443\", \"GAZ:United States of America\", \"11.0\", \"Sunday\", \"TRUE\", \"ENVO:urban biome\", \"Digester3\", \"32.875245\", \"-117.240135\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"Missing: Not collected\", \"Missing: Not collected\", \"Digester3\", \"2539.0\", \"9.335993193290538\", \"254.66163055166493\"], [\"11282.d2.10\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D2-10_S36_L001_R1_001\", \"3571.0\", \"Missing: Not collected\", \"Missing: Not collected\", \"1736\", \"GAZ:United States of America\", \"10.0\", \"Saturday\", \"TRUE\", \"ENVO:urban biome\", \"Digester2\", \"32.875245\", \"-117.240135\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"Missing: Not collected\", \"Missing: Not collected\", \"Digester2\", \"2638.0\", \"9.572945711241447\", \"264.89966228995206\"], [\"11282.d3.15\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D3-15_S56_L001_R1_001\", \"3571.0\", \"1446.4\", \"94.4\", \"1644\", \"GAZ:United States of America\", \"15.0\", \"Thursday\", \"TRUE\", \"ENVO:urban biome\", \"Digester3\", \"32.875245\", \"-117.240135\", \"6.62\", \"139.6\", \"6.94\", \"82\", \"92.8\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"69\", \"423\", \"Digester3\", \"2485.0\", \"9.190377981525142\", \"258.08244865841806\"], [\"11282.d2.3\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D2-3_S29_L001_R1_001\", \"3571.0\", \"Missing: Not collected\", \"Missing: Not collected\", \"2100\", \"GAZ:United States of America\", \"3.0\", \"Saturday\", \"TRUE\", \"ENVO:urban biome\", \"Digester2\", \"32.875245\", \"-117.240135\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"Missing: Not collected\", \"Missing: Not collected\", \"Digester2\", \"2257.0\", \"8.978177262172927\", \"222.5358387537989\"], [\"11282.d2.6\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D2-6_S32_L001_R1_001\", \"3571.0\", \"1792\", \"87.2\", \"4104\", \"GAZ:United States of America\", \"6.0\", \"Tuesday\", \"TRUE\", \"ENVO:urban biome\", \"Digester2\", \"32.875245\", \"-117.240135\", \"11.4\", \"159.2\", \"6.88\", \"47.6\", \"128.4\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"54\", \"942\", \"Digester2\", \"2630.0\", \"9.729354590655273\", \"257.71774246881205\"], [\"11282.d2.19\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D2-19_S20_L001_R1_001\", \"3571.0\", \"2224\", \"98.8\", \"3148\", \"GAZ:United States of America\", \"19.0\", \"Monday\", \"TRUE\", \"ENVO:urban biome\", \"Digester2\", \"32.875245\", \"-117.240135\", \"10.68\", \"154\", \"7.14\", \"118.4\", \"135.6\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"65\", \"749\", \"Digester2\", \"2192.0\", \"9.218986094143744\", \"230.2483812394539\"], [\"11282.d1.19\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D1-19-Re_S3_L001_R1_001\", \"3571.0\", \"1486.4\", \"101.2\", \"1656\", \"GAZ:United States of America\", \"19.0\", \"Monday\", \"TRUE\", \"ENVO:urban biome\", \"Digester1\", \"32.875245\", \"-117.240135\", \"5.5\", \"124.8\", \"6.97\", \"81.6\", \"93.2\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"64\", \"454\", \"Digester1\", \"2553.0\", \"9.411445597606127\", \"263.191190457916\"], [\"11282.d4.26\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-26_S55_L001_R1_001\", \"3571.0\", \"596.8\", \"100\", \"1582\", \"GAZ:United States of America\", \"26.0\", \"Monday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"6.16\", \"139.2\", \"6.99\", \"84\", \"94.8\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"71\", \"472\", \"Digester4\", \"2377.0\", \"9.170284831268578\", \"248.371076341526\"], [\"11282.d4.16\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-16_S45_L001_R1_001\", \"3571.0\", \"2000\", \"96.8\", \"2293\", \"GAZ:United States of America\", \"16.0\", \"Friday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"8.22\", \"157.2\", \"6.9\", \"98.8\", \"115.6\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"65\", \"389\", \"Digester4\", \"2086.0\", \"9.260650553403805\", \"226.206610562096\"], [\"11282.d1.16\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D1-16-Re_S12_L001_R1_001\", \"3571.0\", \"1524.8\", \"99.2\", \"1877\", \"GAZ:United States of America\", \"16.0\", \"Friday\", \"TRUE\", \"ENVO:urban biome\", \"Digester1\", \"32.875245\", \"-117.240135\", \"6.1\", \"145.6\", \"6.88\", \"91.6\", \"104\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"62\", \"531\", \"Digester1\", \"2119.0\", \"9.341493784516414\", \"223.12200042277604\"], [\"11282.d4.21\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-21_S50_L001_R1_001\", \"3571.0\", \"1872\", \"98.8\", \"1798\", \"GAZ:United States of America\", \"21.0\", \"Wednesday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"6.54\", \"139.6\", \"6.99\", \"90.4\", \"104\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"67\", \"517\", \"Digester4\", \"2124.0\", \"9.198923889029293\", \"221.92701392655601\"], [\"11282.d4.1\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-1-Re_S5_L001_R1_001\", \"3571.0\", \"2168\", \"66.8\", \"2178\", \"GAZ:United States of America\", \"1.0\", \"Thursday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"9.63\", \"165.8\", \"7.03\", \"79.6\", \"132.8\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"81\", \"490\", \"Digester4\", \"2074.0\", \"8.808851484460071\", \"182.871791681824\"], [\"11282.d4.12\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-12_S68_L001_R1_001\", \"3571.0\", \"2448\", \"93.6\", \"3797\", \"GAZ:United States of America\", \"12.0\", \"Monday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"11.66\", \"187.6\", \"6.88\", \"115.6\", \"148\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"67\", \"772\", \"Digester4\", \"2366.0\", \"9.336178282671566\", \"246.37784342765303\"], [\"11282.d4.18\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-18_S47_L001_R1_001\", \"3571.0\", \"Missing: Not collected\", \"Missing: Not collected\", \"1842\", \"GAZ:United States of America\", \"18.0\", \"Sunday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"Missing: Not collected\", \"Missing: Not collected\", \"Digester4\", \"2112.0\", \"9.268387219900744\", \"227.036596529733\"], [\"11282.d1.14\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D1-14_S25_L001_R1_001\", \"3571.0\", \"1808\", \"98.4\", \"2547\", \"GAZ:United States of America\", \"14.0\", \"Wednesday\", \"TRUE\", \"ENVO:urban biome\", \"Digester1\", \"32.875245\", \"-117.240135\", \"6.84\", \"140\", \"6.9\", \"92.4\", \"108\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"68\", \"553\", \"Digester1\", \"2640.0\", \"9.434944347104981\", \"269.026572022046\"], [\"11282.d4.23\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-23_S52_L001_R1_001\", \"3571.0\", \"1467.2\", \"100.4\", \"1519\", \"GAZ:United States of America\", \"23.0\", \"Friday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"5.64\", \"135.6\", \"7.02\", \"82.8\", \"96\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"67\", \"472\", \"Digester4\", \"2382.0\", \"9.266694336091504\", \"255.56399887384498\"], [\"11282.d2.22\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D2-22_S23_L001_R1_001\", \"3571.0\", \"2176\", \"100.4\", \"3172\", \"GAZ:United States of America\", \"22.0\", \"Thursday\", \"TRUE\", \"ENVO:urban biome\", \"Digester2\", \"32.875245\", \"-117.240135\", \"10.68\", \"172\", \"7.23\", \"117.2\", \"137.6\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"67\", \"800\", \"Digester2\", \"2155.0\", \"9.243362871499604\", \"223.022399959342\"], [\"11282.d4.5\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-5_S61_L001_R1_001\", \"3571.0\", \"2816\", \"85.2\", \"4308\", \"GAZ:United States of America\", \"5.0\", \"Monday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"13.38\", \"200\", \"6.83\", \"121.6\", \"155.2\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"70\", \"1167\", \"Digester4\", \"2356.0\", \"9.065513969850606\", \"229.976402639318\"], [\"11282.d1.23\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D1-23_S8_L001_R1_001\", \"3571.0\", \"1384\", \"110.4\", \"1464\", \"GAZ:United States of America\", \"23.0\", \"Friday\", \"TRUE\", \"ENVO:urban biome\", \"Digester1\", \"32.875245\", \"-117.240135\", \"5.56\", \"132.8\", \"7.02\", \"81.2\", \"89.6\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"69\", \"468\", \"Digester1\", \"2350.0\", \"9.260934070962136\", \"253.712977227496\"], [\"11282.d4.28\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-28_S57_L001_R1_001\", \"3571.0\", \"1385.6\", \"101.6\", \"1529\", \"GAZ:United States of America\", \"28.0\", \"Wednesday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"5.56\", \"141.2\", \"6.96\", \"84.8\", \"92\", \"TRUE\", \"11282.0\", \"waste water\", \"Chris\", \"67\", \"455\", \"Digester4\", \"2291.0\", \"9.239216197711373\", \"242.00856609300305\"], [\"11282.d4.3\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D4-3_S59_L001_R1_001\", \"3571.0\", \"Missing: Not collected\", \"Missing: Not collected\", \"2143\", \"GAZ:United States of America\", \"3.0\", \"Saturday\", \"TRUE\", \"ENVO:urban biome\", \"Digester4\", \"32.875245\", \"-117.240135\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"Missing: Not collected\", \"Missing: Not collected\", \"Digester4\", \"2169.0\", \"8.819249528628024\", \"218.539726782596\"], [\"11282.d2.1\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D2-1_S27_L001_R1_001\", \"3571.0\", \"1592\", \"64.4\", \"2147\", \"GAZ:United States of America\", \"1.0\", \"Thursday\", \"TRUE\", \"ENVO:urban biome\", \"Digester2\", \"32.875245\", \"-117.240135\", \"9.52\", \"136.6\", \"7.02\", \"73.4\", \"103.6\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"76\", \"343\", \"Digester2\", \"2310.0\", \"8.865870082772814\", \"219.527081631202\"], [\"11282.d1.13\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D1-13_S24_L001_R1_001\", \"3571.0\", \"2000\", \"94\", \"2084\", \"GAZ:United States of America\", \"13.0\", \"Tuesday\", \"TRUE\", \"ENVO:urban biome\", \"Digester1\", \"32.875245\", \"-117.240135\", \"7.36\", \"195.2\", \"6.84\", \"90\", \"102.8\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"69\", \"539\", \"Digester1\", \"2573.0\", \"9.441619133024323\", \"261.9256058631229\"], [\"11282.d3.8\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D3-8_S49_L001_R1_001\", \"3571.0\", \"1760\", \"95.2\", \"3502\", \"GAZ:United States of America\", \"8.0\", \"Thursday\", \"TRUE\", \"ENVO:urban biome\", \"Digester3\", \"32.875245\", \"-117.240135\", \"2.6\", \"173.6\", \"6.79\", \"100\", \"121.6\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"71\", \"761\", \"Digester3\", \"2541.0\", \"9.4986281881082\", \"246.3907548139269\"], [\"11282.d2.18\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D2-18_S19_L001_R1_001\", \"3571.0\", \"Missing: Not collected\", \"Missing: Not collected\", \"1672\", \"GAZ:United States of America\", \"18.0\", \"Sunday\", \"TRUE\", \"ENVO:urban biome\", \"Digester2\", \"32.875245\", \"-117.240135\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"Missing: Not collected\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"Missing: Not collected\", \"Missing: Not collected\", \"Digester2\", \"2576.0\", \"9.420632358263498\", \"266.62396380322195\"], [\"11282.d1.22\", \"AGCACGAGCCTA\", \"YATGCTGCCTCCCGTAGGAGT\", \"UCSDMI\", \"Longitudinal study of four anaerobic digesters\", \"Illumina MiSeq\", \"16S\", \"Illumina\", \"D1-22-Re_S18_L001_R1_001\", \"3571.0\", \"1371.2\", \"103.2\", \"1497\", \"GAZ:United States of America\", \"22.0\", \"Thursday\", \"TRUE\", \"ENVO:urban biome\", \"Digester1\", \"32.875245\", \"-117.240135\", \"5.04\", \"134.4\", \"6.99\", \"82\", \"90.8\", \"TRUE\", \"11282.0\", \"waste water\", \"Leo\", \"69\", \"445\", \"Digester1\", \"1948.0\", \"9.196612812100083\", \"205.7196324971561\"]], \"metadata_headers\": [\"SampleID\", \"BarcodeSequence\", \"LinkerPrimerSequence\", \"center_name\", \"experiment_design_description\", \"instrument_model\", \"library_construction_protocol\", \"platform\", \"run_prefix\", \"qiita_prep_id\", \"alkalinity\", \"ammonian\", \"cod\", \"country\", \"day\", \"dayweek\", \"dna_extracted\", \"env_biome\", \"host_subject_id\", \"latitutde\", \"longitude\", \"nitraten\", \"nitrogent\", \"ph\", \"phosphorousr\", \"phosphoroust\", \"physical_specimen_remaining\", \"qiita_study_id\", \"sample_type\", \"sampler\", \"tss_vss\", \"volatile_fatty_acids\", \"Description\", \"observed_otus\", \"shannon\", \"faith_pd\"], \"settings\": {}, \"type\": \"scatter\"}};\n",
       "\n",
       "  var plot, biplot = null, ec;\n",
       "\n",
       "  function init() {\n",
       "    // Initialize the DecompositionModel for the scatter plot, and optionally\n",
       "    // add one for the biplot arrows\n",
       "    plot = new DecompositionModel(data.plot.decomposition,\n",
       "                                  data.plot.metadata_headers,\n",
       "                                  data.plot.metadata,\n",
       "                                  data.plot.type);\n",
       "\n",
       "    if (data.biplot) {\n",
       "      biplot = new DecompositionModel(data.biplot.decomposition,\n",
       "                                      data.biplot.metadata_headers,\n",
       "                                      data.biplot.metadata,\n",
       "                                      data.biplot.type);\n",
       "    }\n",
       "\n",
       "    ec = new EmperorController(plot, biplot, \"emperor-notebook-0xe8d97fd2\");\n",
       "  }\n",
       "\n",
       "  function animate() {\n",
       "    requestAnimationFrame(animate);\n",
       "    ec.render();\n",
       "  }\n",
       "  $(window).resize(function() {\n",
       "    ec.resize(div.innerWidth(), div.innerHeight());\n",
       "  });\n",
       "\n",
       "  $(function(){\n",
       "    init();\n",
       "    animate();\n",
       "\n",
       "    ec.ready = function () {\n",
       "      // any other code that needs to be executed when emperor is loaded should\n",
       "      // go here\n",
       "      ec.loadConfig(data.plot.settings);\n",
       "    }\n",
       "  });\n",
       "\n",
       "}); // END REQUIRE.JS block\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<emperor.core.Emperor at 0x1a10d1e780>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Emperor(res, mf, feature_mf, remote=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the plot above you can see three groups of arrows, one pointing to the left, the other to the top and the final to the right. Let's pick a representative of each of these three groups (at random) and see them in a line plot below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrix = table\n",
    "matrix['day'] = mf['day'].copy()\n",
    "matrix['Description'] = mf['Description'].copy()\n",
    "matrix.sort_values(by='day', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 698.976x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YZ2dDk4vnT47Q0R+s8eiEEEIsVbK6QghRc/lCAX80STZfwGF79WVpXaOLdDbP40cGcdnMbGypq+EohRBCLEUyMyuEqLlQPEMkmcVhM2Oos/P9N7XW4bCZeOTlfkYjyRqNUAghxFIlwawQouaKKQZp6p2Wcx4zlGJ7m5eC1jx8sI9oMlODEQohhFiqJM1ACFFTBa3xR1OksnlcduuU+5gMgx3rGzjU4+fhg/28Z89GbBZ5+RJCTO2pjiGC8XTZztfgsnHljrYZ91FK8ed//ufcfXexTH4ul6OtrY3LL7+chx56iAcffJBjx47xhS98YcbzTHT77bfz1a9+lZMnT7Jt2zYA7rrrLj772c/ywgsvsGfPnoU/KeDNb34zQ0ND2O12rFYr3/3ud7n44osXdc5akHcDIURNRRIZIokMDqsFkzF9SUGL2WBHewNH+vz8/vAg77i4HZMhN5eEEOcKxtO0eBxlO99cUpxcLhdHjhwhmUzicDh49NFHWb9+/fjj119/Pddff/0MZ5ja7t27uffee/mHf/gHAB544AF27tw57/NM55577mHPnj388Ic/5POf/zyPPvpo2c5dLfJOIISoqUAsTSiexuOY/bO102bm/HX1nBgM8cfjw6yGpi9CiOXj2muv5Ve/+hUA+/bt46abbhp/7F/+5V+47bbbAPj4xz/Opz/9ad74xjdy3nnn8cADD0x7zhtuuIFf/vKXAHR1deH1emlpaRl//NZbb2XPnj3s2rWLr3zlK0CxRe7555/P8ePHAbjpppv47ne/O+PY3/CGNzAwMDDjeQE2b97MV77yFS699FJ2797NK6+8AsDo6Chvf/vbufTSS/nEJz7Bpk2b8Pl8APz4xz9m7969XHzxxXziE58oe8teCWaFEDWjSykGiUyOOsfUKQaTeZ02zlvj4aUuHwe7/RUeoRBCzN2NN97IvffeSyqV4tChQ1x++eXT7js0NMRTTz3FQw89NGPqgcfjYcOGDRw5coR9+/bxoQ996KzHv/71r7N//34OHTrEE088waFDh/B6vXzrW9/i4x//OPfeey/BYJC//Mu/nHHsv/3tb7nhhhtmPO+Y5uZmXnrpJW699VbuvPNOAL761a/ylre8hZdeeon3ve999Pb2AsXOXvfddx9PP/00Bw8exGQycc8998w4lvmSNAMhRM3EUjnC8Qw2i3lebWtbvA7S2TxPv3KGOruFbW3eCo5SCCHm5sILL6S7u5t9+/Zx3XXXzbjvDTfcgGEY7Ny5k+Hh4Rn3HQuSH374YR577DF++MMfjj/205/+lO985zvkcjmGhoY4duwYF154IW9/+9u5//77+dSnPsXLL7887blvvvlm4vE4+Xyel156adbzAvzpn/4pAK973ev4+c9/DsBTTz3FL37xCwCuueYaGhoaAHjsscd48cUXueyyywBIJpO0trbO+HznS2ZmhRA1E4ylCCfSuO3nVjGYzfomF/VOK48d7mcwEK/A6GamtSaazEqqgxDiLNdffz2f+9znzkoxmIrNZhv/+9jryBe/+EUuvvjicxZhvec97+Huu+9m48aNeDye8e2nT5/mzjvv5LHHHuPQoUO8613vIpVKAVAoFOjo6MDhcBAIBKYdxz333MPp06f58Ic/zKc+9alZzztx7CaTiVwud9ZzmExrzcc+9jEOHjzIwYMHOX78OLfffvuMP5v5kmBWCFEz/miKWCqLd4qSXLNRSnHeGg8mk8HDB/sIxsq3cnkmBa0ZCSc5eNrHMyfO0HkmXJXrCiGWh1tuuYUvf/nL7N69e97Hfv3rXx8P+iZyOBx84xvf4Itf/OJZ2yORCC6XC6/Xy/DwML/5zW/GH7vrrrvYsWMH+/bt45ZbbiGbzU57XYvFwh133MGzzz5LR0fHjOedzpVXXslPf/pTAB555BGCwWLnxre+9a088MADjIwUW5MHAgF6enrm9gOZI0kzEELURCKdIxjPYDYZWM2mBZ3DMBQXrKvnSG+A3x7o5b17N+O0zT8wnot8oRjEDgRi+CJp/NEUwXgKXzjF9rb6ilxTCLEwDS5bWZusNLhss+9U0t7ezmc+85myXXvMjTfeeM62iy66iEsuuYRdu3Zx3nnnccUVVwBw4sQJvve97/H8889TV1fH1VdfzR133MFXv/rVac/vcDj4u7/7O+68806+//3vT3nemXzlK1/hpptu4r777uNNb3oTbW1t1NXV0dzczB133ME73vEOCoUCFouFb3/722zatGnhP4xJ1Gq4RbZnzx69f//+Wg9DCDHBgD/OC6eGUSjW1DsXda50NsehngAbm91cd+lGLAsMjqeSyxcYDiUZCMTxRZIEYmmsZoNmj4NUNk/nUJibrtpW1jJAQoj56ejoYMeOHbUexqqWTqcxmUyYzWaeeeYZbr311nNmmGcyze9w+nqNE8jMrBCiJgLxNNFEjg0t7kWfy2Yxs7O9gaN9AZ44Nshbdref0xZ3vjK5PGeCCQaDCXzRJKFYBpvZYH2TC4e1+NJpNRsYCo73h2jZKcGsEGL16u3t5YMf/CCFQmG8AUO1SDArhKi6dDaPP5pEKbBbyjOL6ipVNTjaF6LObmXv9lbUAgLadDbPUDDBYDDOaDhFJJHGaTOzodmNbdJYzSaDJo+djoEgb7hgjTRxEEKsWtu3b+fAgQM1ubYEs0KIqgvG0kSTWVz28r4ENbrtbGop8HznCG6HhV0bGud8bDKTYzAQZyiYwBdJEU1lcNusbGqtmzGnt6nOzmg4RZ8vxuZWz7T7CSEqS2u9oA+wovYWm/IqwawQouoC8TThRJZ1DYvLlZ3K2nonqUyeJ44O4bKb2dwyc4AZT2cZDCQYCsbxRVPEUjk8DgubWz1Y5lD71m23YDUbdPSHJJgVokbsdjt+v5+mpiYJaJcZrTV+vx+73b7gc0gwK4Soqmy+gD+SpFDQOKzlW6g10cYWN6lsjkdfHuCGvZYpF2dFkhkGA3HOhBLFLmTpPB6HhfNa6+bVwMFQilavg67hCKlsDrtFXlaFqLb29nb6+/sZHR2t9VDEAtjtdtrb2xd8vLzqCiGqKhRPE0lmcNnMFZtBMZRie1s9R/sC/OZAL+/bu5k6h238+gOBOCPhJP5IimQ2T73Lytp6FyZjYeNpcNvo98fpHAzz2k1N5XwqQog5sFgsbNmypdbDEDUiqxWEEFUViBVTDLwua0WvYzIUO9obiCZz/PZAPyPhBId7A7zY5eNIb4CBQAKH3czWNR5aPI4FB7IADqsZt93M0YFQGZ+BEEKIuZCZWSFE1eQLGn8kRSZXwGmr/MuPxWSws72ewz1+Hj86RKGgKegCjW47Hqd10eW7JiqmGkQJxtI0uOdeYF0IIcTiyMysEKJqwok0kWQWp81c1kByJg6rmV0bGskXCjS6rWxp9VDvspX9+l6nDQUcHwiW9bxCCCFmJsGsEKJqAtE0oUQKr6MyLWen47Jb2NLqweO0VSxP12I2aKyzc2wgtOgyM0IIIeZOglkhRFVorfHHUqQzedxVDmarpdljJ5bMMuCP13ooQgixakgwK4SoikgySziRwW41rdhOWW67BbNJ0SGpBkIIUTUr8x1FCLHkBGNpwvEMdY7KVjGoJZOhaPE4ODkUIZ3N13o4QgixKkgwK4SoCl80SSKTw7OCg1mAxjobuXyB0yPRWg9FCCFWBQlmhRAVF0tlCcczWE3GvLprLUdOqxmnzczRvkCthyKEEKvCyn5XEUIsCYFYmnAyg9ux8ktbq1J728FAnEgiXevhCCHEiifBrBCi4gLRFLFkFq9zdTQTqHdZQcOJoXCthyKEECueBLNCiIpKZXIE4mlMhoHVbKr1cKrCajZR77JyrC8oNWeFEKLCJJgVQlSUP5Ymmkjjsq+OQHZMi9dBKJ7hTChR66EIIcSKJsGsEKKigrE00WSO+lWSYjCmzmHBZEjNWSGEqDQJZoVYBfKF2tzqzuTy+KMpNGC3rvzFXxOZDIMWr4OTA2Gy+UKthyOEECuWBLNCrHCRZIZnjp9hOFz9293BWJpIMoPLtrpSDMY0um1kcgW6RyK1HooQQqxYEswKscIFomkGgnEeOdhHKpur7rVjaSKJDPUue1Wvu1S4bGZsFhPH+iXVQAghKmV13fcTYhXyl8pixVJZ/nB0iLdf1I5SquLXzeUL+KMp8nmNw7o6Z2bHas72jsaJpbK47ZZaD2lW+YImXyhQKGhyBT3+fS6vKZS+zxUKpe3F3217k7vWwxZCrGISzAqxgsXTWULxNA6ribYGJx0DIdY3udi1obHi1w7FM0STWRx2c1WC56Wq3m2j1xfj5FCIS7a01GQMWmtGIylSmVwpGH01SM3mC2Rzpa98gVxBUygUKGgoFDQFrcnlC2QLmkK+uE9BQ0FrsrkCGs2Hrti24tsUCyGWLglmhVjBgqXb/C6bhUa3nRZPhic7ztBW76SxrrK3/gOxFMF4hua61VXFYDK7xYTHWaw5W6tg9kwoSUd/kMFAnLwuBqhaawoFUIChFMpQGIbCUGAa+14plNKYlIHVbGCxmjCbDEyGgWEo0tkcrwyE6ffF2blBglkhRG1IMCvEChaMZ4ilcmxsKd4G3tTi5nBvgN8d7ud9e7dgqVATg4LW+KIpsrn8sri1XmmtXgedQ2FGI0laPI6qXjueznJ6JMJgME6L14HNbJSCVjX+50LZzAZ2i0H3aISdGxrKOGohhJg7WQAmxApVLIuVRCmwWYpBq8kweE2bl6FAkmdPjlTs2uF4hkgii8NqwjBWb4rBGI/DgqHgeH+oqtfNFzSdQxEGAwk8DgtepxW71YzVXJxhXUwgC8Wc4HqXjX5/nIJ0OhNC1IgEs0KsUMVmBVmc9rNvwDhtFja3ujl42sfp4WhFrh2IpQkn0niccusZwGwyaPLY6RgIki9Ur+Zsny/GYCBONleguUIzwnUOK+lssZ6wEELUggSzQqxQwXiGSCKDd4qAstXrwOOw8h9H+okmM2W9rtYafzRFKpOnziEpBmOa6+wkM3l6R2NVuV4onqbHF8UfTbGu0bnoWdjpuGxm0NDvr87zEkKIySSYFWIFyhc0/miSXF7jmKLzllKK89Z6SGTy/MeRwbLeIo4ms4QSaWxWEyZDXmLGuOwWrFWqOZvJ5Tk5FGYwEKepzjaeZlIJNosJu81ctSBdCCEmk3caIVagcKKUYmAzTzsjZzEV82dPD0c40OUr27XHGiXUycKvsxilmrPdI1GSmWxFr9U1HGUoGMdiMmhwV75hRaPLxmAwXrO2yUKI1a2iwaxS6hql1HGlVKdS6gtTPG5TSt1Xevw5pdTm0va3K6VeVEodLv35lgnHPF4658HSV2sln4MQy1EwliacyOBxzhxQepxW1jW6ePbkMEPBeFmu7Y+liKdyki87hQaXdXxRVqWcCSUYCMSJJrKsrXdW7DoTuexmcjnNSA1aJgshRMWCWaWUCfg2cC2wE7hJKbVz0m5/AQS11tuAu4BvlLb7gPdorXcDHwPunnTczVrri0tflVuSLcQyVMxZTZPKzK0s1vomFzazwe8O9S+63W08nSUUS2MxG1hMcuNnMofVjNtu4WiFUg0S6RxdwxHOBOKsbXBirtLvwGkzg4J+X3k+EAkhxHxU8pVuL9Cpte7SWmeAe4H3TtrnvcC/lv7+APBWpZTSWh/QWg+Wth8F7Eqp1V15XYg5iqayhBNprJa55awaSrG9rZ5gPMNTx4bQi8ifDUTHmjRICevptHrtDIeSBGLlXf1f0JrOM2EGAwncDguuKqZ5WM0mXHYL3b7KVMcQQoiZVDKYXQ/0Tfi+v7Rtyn201jkgDDRN2uf9wAGtdXrCth+WUgy+pKbpk6mU+iul1H6l1P7R0dHFPA8hlpVQKcVgPjmrNouJbWs9HO0P8crAwmuhBmIpoqks9S757Dkdr9NWrDk7UN7Z2fEyXPk8Ld7qNmYAqHdZGQ4lyebyVb+2EGJ1q2QwO1WQOXnKZ8Z9lFK7KKYefGLC4zeX0g+uKn19ZKqLa62/o7Xeo7Xe09JSmxaSQtRCIJYmns7Nmi87WaPbTnOdnT8cG1rQrGEqmycQS2MYqqKr55c7i9mg0W2noz9EoUw1Z0PxND2jUXyRFOsaXBUrwzUTt92CLmgGg5I+hhCWAAAgAElEQVQ3K4SorkoGs/3AhgnftwOD0+2jlDIDXiBQ+r4d+AXwUa31qbEDtNYDpT+jwE8opjMIIYBUJkcgnsZsGFgX0Kp2c6sbreF3hwbI5ec3wxaMpYkksrhsUsVgNs0eO7FUjsHA4gO/bL5QTC8IJmhwV7YM10ycVjPKgH6/5M0KIaqrksHsC8B2pdQWpZQVuBF4cNI+D1Jc4AXwAeD3WmutlKoHfgX8N63102M7K6XMSqnm0t8twLuBIxV8DkIsK8F4hmgii8u+sJxVk2Gwvc3DUDDBc/Nsd1tMMUhT75IqBrOps1swmw2OlSHVoGs4wlAggdlQNNVVvgzXdMwmA4/DSs+o5M0KIaqrYsFsKQf2NuBhoAP4qdb6qFLqa0qp60u7fR9oUkp1Ap8Fxsp33QZsA740qQSXDXhYKXUIOAgMAN+t1HMQYrkJxFLEUlN3/Zorl93CpmY3L3X56B6ZW2CSyeXxRVMU8mCXFINZGYZijddO51CYdHbhOaYj4SQD/jiRZKZqZbhm4nVa8UfTJDOLq4ohhBDzUdElx1rrXwO/nrTtyxP+ngL+bIrj7gDumOa0ryvnGIVYKXL5AoFoinxh8QHlmnoHoUSa3x/p54Nv2IrbMXNwHIpniCUzuOxmplmTKSZpcNkZ9CfoGo6wo71h3scnMzlOnQkzFErQ6nVUrQzXTFx2C2jNYCDO1rXeWg9HCLFK1P7VTwhRFqF4Zrzr12IDSqUUW9d6Sabz/MfR2dvdBmJpwgmpYjAfDqsJh828oPa2Ba3pLLWrdVlN1M3yYaNaHFYzJpOS1rZCiKqSYFaIFSIYTxNKZPHOs4rBdCwmg+1tXrrORHj59PTtbvOFAv5okmyugEPqy86ZKrW3HQjEiSTSsx8wQb8vxkAgTiZXoNVb+/SCMSZD4XVa6fFJMCuEqB4JZoVYAQpa44+myORyZa0mMNbu9pkTIwyHpl55H4pniJRmhGtREmo5q3dZUcDxwfCcjwknMnSXynC1NbowjKX1M/c6bUSTGaLJTK2HIoRYJSSYFWIFiCQyRBIZnFZL2YOb9Y0uzCY1bbvbQCxNOJ4u24zwamI1m2hw2zjWF5xT57VcvsDJoRBDgQQNdbYludjOaTOjNQwEpESXEKI6JJgVYgUIxTOEkxncjvLf5jcMxfnr6vFH0+e0ux2bEU5l87jtSyNvc7lprrMTSWQYmkOzga7hCEPBBMqAxiWan2y3mrCYjSWXN+uPpjjSG5g1/1sIsfxIMCvECuCPpoincngqtBDIZjGxdW0dx/pDHB98td1tJJEhXKEZ4dWizlH82b0yOPNCsJFwkv5AnFA8Q1uDa8lWjTCUot5lo88fm9Nsc7UMBhO82DXK8UW0axZCLE0SzAqxzMXTWULxNDaLUdHyTE11Dprq7Pzh6KvtbsdSDObbOle8ymQYtHodnBwIk52m61qqVIbrTDDOGq8DyxIowzUTj8NCPJUjGJ/fwrZKSWVy+CJJgrE0L3SOlq2NsBBiaVjar4hCiFmFYmP5spWvJLC51U2+oPn94QGyuTz+aIpEJofbXp5gNpXJ8YvnThNZZYuHGtw20rnClE0qClpz8kyEwWAcp9WCZxENMarFZTOjgMEl0tp2NJIinEizxusgGE9zajhS6yEJIcpIglkhlrlAPE0slatKjVeTYfCadV4GAgme7BgqzQibyzYj3NEf4mC3n4f295TlfMuFy2bGbjVxrO/cVIN+f5yhQJxMtkCr11GD0c2fzWLCZjXRvURa2/oiSSKJLG0NTuocFl7oHF1SKRBCiMWRYFaIZSyTy+OPJlGqGEBUw1i726N9QUYjqbLNykIxMAfoGo6SWkSb1+VGKcUar4NeX4xYKju+PZLM0DMaZSScpK3BuWzykpVS1LusDAQSNV9wFUtlCcTSmE0GdquZ9kYXo5HUnFs1CyGWPglmhVjGQvEM0VQWp726zQrW1Duoc1gIJzPUl/G291t3r+cjb9pONl/gwAyNGlYir8sGGk4MFRco5fIFTg4Wu3w1uKzYq5BGUk51DiuZbB5fJFXTcfgiKUKJ9HiXtDqHBZfNzAudozUdlxCifCSYFWIZC8TSRBNZvFXOo1RKccH6Bna1N2Axl/dlZNtaL++/fAuXbG4q63mXOrvFhMdl5VhvMdXg9EiUwWACpRSNdfYaj27+xnK4+/21K9GltWY0kiSWzNLgKv4fUUqxvtHFmVCCPulUJsSKIMGsEMtUvqBfbSNbo1k7q7l8qQ29o1Hue/oUoXiaCzc3LbuZyHJo8TgIxNJ09Afp98eIJNK0NTiXbBmumdgsJpw2Mz01rDcbTmQIxtPYraaz8rq9Lit2q4n9p0ZqNjYhRPlIMCvEMhVOpIkmcyumjWzXSJSO/uB4V6tjfcFVtxDM47BgGHCkL8BgIEGLx77ky3DNpN5lYygYJzdNybFK80VShOIZvM6zF0capdnZPl+cwcDszSqEEEvb8n2VFGKVC8YyhBNpPI6VUeO1zxej1esYn5ENxFK8cGqUM6HVE2yYTQYtdQ6GQwkcNjMe59Ls8jVXboeFfF4zHKp+3my+oBmNpkhmcuP5shM1uGxYzAb7Tw1XfWxCiPKSYFaIZUhrTSCWIpXJ414BwWxBa/r9cTY0u8e3XXpeCxaTwbMnVtet4PZmF1taPaxZJmW4ZuK0mUFBf6D6qQbBUkMPh9WMaYoqEIah2NDkomckxkh49XxgEmIlkmBWiGUolsoRiqexWkyYjOX/33g0nCKVzbOhyTW+zWkzc/HmJg73+M8qV7XSmQyDpjr7lAHYcmMxGbgdFrpHqh/M+qIpArH0jNU2Gtx2TCbFi12rq3KGECvN8n8XFGIVCsbTRBKZstZ4raV0Ls+6BicbW9xnbb/8Na3kCpr9p6SM0nLV4LQxGkmSyuaqds1svoAvkiSXL8x458JkKNY3uekcDBOI1raEmBBi4SSYFWIZCkRTxNM5vM6VEcxubHbziXfspNF9dgmqFo+DN7xmzbLpfCXO5bKb0VozHEpW7Zr+aLG2rNtmmXVxZJPbhmEoXuySD0xCLFcSzAqxzKQyOYLxNIZhlLU0Vi3lC9N3ibrmkg3sbG+o4mhEOTltZpRS9Faxta0/miIUy1Dvnn0BndlksL7JyfGBEKFSBzohxPIiwawQy0wwniGSyOK2rYw6rLFUln/6xQEO9/in3SeZyfFSlw9d49aoYv5MhoHXaa1avdlUNs9oJIkGHNa5fdhrqnOgUauu65wQK4UEs0IsM8F4mmgyg9dV3a5fldLni5HJFYrtXKdxpDfIL1/oplc6Ni1LXqeVYDxDPF35vFl/JEU4XixZN9dmExaTwbpGJx19QaLJTIVHKIQoNwlmhVhGcvkC/kiSgma8ucBy1+uLYTIUbQ3Oafe5aHMjDqtp1ZXpWilcNjNozVAgXvFrjUaShBNZ6mf4cDSVVo+DvNa83C2zs0IsNxLMCrGMhOIZoqnceB7iStDni7GuwTljpyur2cTrzmuhYyBIUPIalx2H1YzJpOjxVTZvNp7KEoilMZkUtnl+2LOYDdY2ODncEyCRXj2l4IRYCSSYFWIZCcbThBOZFdP1K5svMBhMnNUsYTp7t7eigOdPyuzscmMYinqXlb4K5836oilC8RSeKTp+zUWrx0EurznUEyjzyIQQlSTBrBDLREFr/NEU6WxuxdSXzRc0V+9sY8f6+ln39Tqt7GxvIJyQnMblyOO0EU1miVTo96e1ZjSSJJbKzTvFYIzNYqK13sHLp32kMtWriyuEWJyVsRxaiFVgLBCwW80YK6A7FBTzft+8a92c9//T129ZER3PViOntfh2MxCI45mhK9dCRZLFFAOL2TRjysps1tQ7ORNKcrgvwGVbW8s4QiFEpci7ghDLRDC2slIMAIaCiXnNgI0FspFEhoKU6VpW7FYTVotBd4XqzfoiSULx9KIbidgtJlo9dg52+cjk8mUanRCikiSYFWKZ8MeKXb/qFpgPuNRorbn7iRP8+qW+eR3XOxrlrocO0TkUrtDIRCUYSlHvtNHvj5e9XnBBa0YjKZLpHN4yzPqubXCSzOQ51hcsw+jmL5LI0OuLSV1lIeZIglkhloFEOkconsFqNhZ1C3UpCcbTxNO5OS3+mmh9kwuX3SJlupahOqeVVDpHIFbeihTBWJpQPFOsmlCGNBSH1Uyj28ZLXaPkCoUyjHDugrE0R/oCPHlskMFgoqrXFmK5WhnvikKscMFYmkg8XazXuUL0lla2b5xnMGsyDPZua+XUcISRcLISQxMV4rSZQcGAv7xVDYpVDNLUl7GRSFujk2gqx/GBUNnOORt/NMXRvgA9I1EGgwm6huXugxBzIcGsEMtAMJ4mlsrN2CVruenzx7FZTLR47fM+ds/WFswmxbMnhiswsrlJZnI8fLCPiHSMmjOb2cBuNdFdxhJduXwBXyRJOpvHXcYUHJfNQoPLyv7OEfJVmJ0djSTp6A/S54tR57DSVu+ke1g63gkxFxLMCrHEZXJ5/NEUqJXT9QuKzRI2NLkwFtD8wWkzc9GmJg73BmqySEdrzQPPdPHH48M8c7x2AfVyo5Si3mVjMBAnXyhPPmggliYUT+O2Wxb0b2km6xpdhBJZOociZT3vZGdCCTr6g/T6YnhcVpo9durdtvG60kKImUkwK8QSV+z6lcFlXVggG09lefCFbpJLrG7m+y7fwlteu37Bx79p1zpuu/a1WM3VD/CVUly1o41Gt41DPf6yBWarQZ3dQjZXYDRcnnzQ0UiSUDxLvbv8CyPddgseh4UXTo1QqNDs7GAgzvGBEH2+GA0uK03u4p0Kl82MAvoqVP1BiJVEglkhlrhALE0knl1wioE/lubFLh8vdI6WeWSL09bgZH2Ta8HHe53Wsqxcny9fJAXA5tY63nFRO7FUjq7hys7crSRjebN9gcUHs+lsHl8kRb5QGK9jW27rm1wEomm6RsofVPb7Y5wYDNHvj9FUZ6fB/WrKjd1iwmY1cboC1xVipZFgVoglLF/Q+KNJsvkCjgUu/trQ5KLRbaNnCc3wnBgMcaR38S1D4+ksP3r8BIfLcK65ONoX4Fu/PUJHf7Fk0/Y2L41um+TNzoPVbMJls9AzsvgPAMWFXxk8DiuqzCkGY+rsFlx2C/vL/GGwZzTKyaEwA4EELR77OV3LlFI0uu30B2Lk8lLvVoiZSDArxBIWSWSIJnM4rOYF5wMOBRNsb/NyeiS6ZFp0PnNimKc6ziz6PA6rmVAizbNVyFvt98f4+XOnaW90sa3NC4DZZPA3172W153XUvHrryT1bivD4STZReY7+yJJIokM9e7KLYxUSrG+0clwOEl3GQJwrTWnhyOcOhNhwB+n1WvH45x6/HUOC7mcZkhKdAkxIwlmhVjCArE04cTCuxol0jn++dEOgrE0+YLm5BJoNJAvaPr98XnXl52KoRSXb19DfyBOn69yK79D8TT7nuqkzm7hxiu3nVXr11AKrTWJ9NL4oLAcuG0WCgXNmdDCg7R4Oos/lsYwVMUXRnqcVpxWE/tPLW52VmtN13CEruEIA4E4bY3OGZuguGxmlAE9vviirivESifBrBBLlNaaQCxFMpPHvcAWtgOB4pvgG85fQ73TSmgJrIweCSfJ5ApsbF54vuxEF29uwm4xVaxMVy5f4CdPdpLLaz581Xbc9nN/F/ueOsW+pzorcv2VyFlKmelbRJDmjxRry9Y5Kl972VCK9U0uBgMJ+hf4oamgNZ1nIpwajjAUTNDe5MJlm/n/tdlk4HXaOH1GcrKFmIkEs0IsUbFUjnA8g81iWnBXoz5fDKVgfaOLT79rN1ftaCvzKOevtxQMlGNmFsBmMXHpec0c6w9WpIyR2WRw2bYWPvjGrbR6HVPus6HZRa8vRiCWKvv1VyKzycDjsNDjW1gety61r40ls+fkmlZKvcuGzWKwv2v+s7MFrTkxGObUmTAjoSTtTS4cc1yw1uAqluhaqnnZ8XSWVwaCUtFD1JQEs0IsUcUak+kpZwLnqt8fZ43XUQqIizm3hRr3ex8JJ/E4LGWtRHD59lbeuns9NnP5XtK01uPB8WXbWtm61jPtvhduakIBL3dXZyHaSuB12fBHUqSy80/PiCazBGNprGajaqXZirOzbnpGY/NKj8gXNMcHQpwejuCLpNjQ7MY+j8oLLnuxRFf/Ek01OBNMcKjHT7dU9BA1JMGsEEtUIJoins4tOF+2oDX9gTgbml6dAb37iRM8tL+nXENckHe/biO3vnNXWVef17tsXLmjbV5BwmyeOznCN399hOE5BC5ep5Uta+p4uduPrvGHheXCZbOggcEFlOjyRVMEE2nqqlyarcFlw2o2eHGOubO5fIFXBoJ0jUQIxNJsbHFjm2d+71iJrqXY2ragNb5oiuFQkk4JZkUNSTArVrxsvlDz2cj5SmXzBONpTKZFzDxp+PCV27hsW+v4JrvVzCsDIQo1vCWolBrPmSyngta83O0fL5u1GMcHQ/z2YB9b13pomSa1YLKLNzcTjKfH0yjEzJw2E4ah6JtnqkFBa0YjSRLpHN4ytq+dC5OhaG90cepMZLze8HSy+QIdAyG6hqNE4hk2NrsX9H95vESXP0YuX/m2uvMRSWQIxzNoXUwfWm6vs2LlkGBWrEhji6deGQjx7Ilhnj85sqxeaEOxNJFEFqdl4UGfYSg2t9axpv7VYGzH+nri6Rx9/toEXCeHwtz/TBfxVLbs51bAsyeG+d2hgUX9rs8EEzzwTBdt9U7e//otcy6JdsH6ev7sDeexrrE8C9tWOpNh4HVY6Rmd37/FUDxNKJ7BbjFjNlX/LayxzobZpHixa2TafTK5PMf6gnQPR4glM7Q3u7EsIgWmzmEhk9MMh5ILPkcl+KNpQok0a+odpNK5WQN8ISpFglmxoqSyeXp9MV7sGmX/qVEOdvvoHAzz3MkRDpxeWh2wZhKIp4mlsnhdC595OtYf5NSZs29NbmvzYjIUHf2hxQ5xQTqHwhwfCGFfYGvemSileP1r1uCLpuha4OrvWCrLPU+exG4xcdNV2+Y1k2azmHjtxsazynaJmXldVsKJDPHU3Bc3+aNpgvEU9a6F55IvhskwWN/o5sRgmOAUC/7S2TxHewOcHokQT+fY0Oxe9L8Jl82MUiypxifFFIMkyXSOVq8dFHJXQtSMvOqKZa+gNf5oio7+IM+dHOZA1yjH+oIEYikanFbOb69nfaOTZ46PLKk3g+nk8gX80RS5fAHHIoK+3x8e4NkTZ88e2S0mzlvj4ZWBYE1yO/v8MdY1OhdcnWE2uzY04LZbePbkwsp0Oaxmdm5o4OartuNZwC3sbL7AE8cGl0Q93+XAaTOjNQzMMW82ly8wEk6QyRaos1e/lfGYpjobhlK81OU7a3sqm+dIb4Du0RjpTJ4Nza6yzB6bTQZel21JtU0eSzGwW004rBbcdgunl9D4xOoiwaxYtpKZHN0jUfZ3jvJCZ3EWtrcUrG5urWNziwevq/ims77Rhctu5neH+gnF0zUe+cxC8QyxZBanzbTgRVLJTI7RSIr2KWq5Xr69lTeev5Zqp81mcnmGgkk2lqkk11TGymidHIowGpn7LdlCodj0wGQorr1kI2sbnAu6vslQvHjKx3MLDKZXG4fVjMVszPlDZiCWJhzP4LCZMYzKtK+dC7PJoK3BSUd/kEip4kUyk+NIr5/u0QjZfJ72ZndZP7Q1uKwEYmliS6RE11iKgbfUvazeZWM4lFxQdQohFquiwaxS6hql1HGlVKdS6gtTPG5TSt1Xevw5pdTm0va3K6VeVEodLv35lgnHvK60vVMp9X9UpRpyiyUpX9CMhJMc7Qvw3IlhDpz20TFQfENpctvZutbLmnrnObeHlVJsX+slky3wu5f7ySyyjWYlBeNpQvFX3yQWYsBfLOMzsZLBmO1tXvZubx0v1VUtg4EEBa3LVl92Onu2trCuwUlyHh25Hj3Uzz8/cmzRXbwMpbhwUyOdZyJEl0jQsZQZSlHvstLni83pToEvmiKUyNBYpdqyM2nxOkApDnT5iKezHOkN0DMSQ2tob3SX/f+Xy2ZBAb1LoETXqykGeepKDV3qHBY0msFA7ccnVp+KBbNKKRPwbeBaYCdwk1Jq56Td/gIIaq23AXcB3yht9wHv0VrvBj4G3D3hmP8P+Ctge+nrmko9B7F0xFNZTg9H2H9qhJe6RjnY7affH8dQcF6rh40tbjxO64yLdcwmg/PXexkMJniqY2hJllAaS5lI5/KLqi/b53+1WcJU4qksR/uqWxM1my+wxuuYMsAuJ7fdwifesZONLXVz2n//qVH+eHyY16yrL0uVhYs2N6E1HOqRmrNz4XFYxxuEzCSTy+OLJMnldUWqYcyXxWSwtt7B0f4AL3f76Rkpzi6va3RVZNbYYV06JbpeTTEwxmefHVYzJkPRPbL0U7nEylPJmdm9QKfWuktrnQHuBd47aZ/3Av9a+vsDwFuVUkprfUBrPVjafhSwl2Zx2wCP1voZXYxEfgTcUMHnIGooXygwHEpwuMfPc50jvHR6lOMDIaLJDGu9Drau9bCm3jmvVcJOm4Wtaz0c7g1yuHfpBRvRZJZIYvG3Uc+EkrR6HNPWtDzY7eenf+wiGKteysX2Ni+fvGZX1QKRVDY/6yzRqTNhfvViD9vbPFxzyYayXLfF42B9o0tqzs7R2L+H/lkqbPijacKJDG6Huaw1ihej1esgX9CcHAxjMhTrGp1zrn4xX0opGtw2+v3xmpfompxiAMUUmwaXje6RqPy7F1VXyWB2PdA34fv+0rYp99Fa54Aw0DRpn/cDB7TW6dL+/bOcUyxz0WSWU2eKFQhePDXKoV4/Q4E4VnNx8dKG5jpcdsuC39Ca6uysrXfwVMcZBpbYLbFgrPiGXbeIWVmAD12xlY+++TXTPr6jvQGAjoHF12SdC6111Wvb/uyZLu59+tS0bTZHI0nu+2MXLR4HH3jD1rLeFr70vGa8LiuZ3NKqC7oU2S0m7FYTPbOshPdFkoQTGRqWQIrBGKvZxAXtDTTWWVnb4Kx4kO1xWMnmC4yEa1eia6oUgzFeV3GWPbjE1yWIlaeSwexU/6snv6vMuI9SahfF1INPzOOcY8f+lVJqv1Jq/+jo8inJtJol0jkOnvbxfOcIB0776BwKk8jkaKt3sXWtlxaPo2x1JTc0u7FZDB492LdkchuDsTRDwTjJTI66RRaDN5SaMU2h0W1jjdfBKwPVKdHli6b4p387WNVV/q/b2kI4keGVaQJ2l83CtrUePnzVNuzz7Mo0mz1bW7j5qu3z7va0GqlS3uxAID5tfeBkJocvWiyD5Shjl7dyqLNbaPFUPpCFYokuoKa38qdKMRjjtFlQCvqlRJeoskoGs/3AxPt27cDgdPsopcyAFwiUvm8HfgF8VGt9asL+7bOcEwCt9Xe01nu01ntaWloW+VRENZweidB5JsJwKI7DYmbrWg/tTe6K3JY2lOI16+pJpHP87tAA2RovCBtb1NYzGsXrtC6qLuUrA0EefKGbdHbm53RBez29vhixCjQwmKzPFyedzVO/iLq58/WaNi+NbhvPHD+7skA2XyCXL+C0mfngG7dSX8GZvlA8Pe3MsHhVnd1KOpPHH5266P5oJEUovvg7FsvdWImu0yO1K4E1lmLgmWKBqt1iwmk1c2pY8mZFdVUymH0B2K6U2qKUsgI3Ag9O2udBigu8AD4A/F5rrZVS9cCvgP+mtX56bGet9RAQVUq9vlTF4KPALyv4HESVhOJphkNJ0tkcm1s9NHnsFatFOsZiMnjN+nr6RqM8c2K4ZnleA/44Hf1Benwx6uwW1tQvrCzUmOODYY71B2fNJd6xvqHYhnKeHZgWotcXw2E10Vxnr/i1xhiGYu/2Vvr88fF8zILW/Ntzp7n7DycrHmT2jEa566HD5zSuEOeaLW92NJIklszQ4F46KQa1UssSXcUFqsUUA49j6g8WDW4bg8F4zScIxOpSsWihlAN7G/Aw0AH8VGt9VCn1NaXU9aXdvg80KaU6gc8CY+W7bgO2AV9SSh0sfY01mL8V+B7QCZwCflOp5yCqQ2tNry/GSDhJU529YgsopuK2W9i8xsPLp/1Vu+U+RmvN6eEIx4dC9PljNLttNHkcsx84i35fjPYm16w/x7X1Dv6fd+9m54aGRV9zNn2+GBua3VVfuHPJlmZsZoPOUkewx48McqQvyPa1noqXJlvf6MJpNXOw21/R66wENosJp81Mz8i5wWw0mSUUS2MyGfPqyLZSuWwWtC7e7ai2SCJDKDF1isEYt8NCIa8ZDM6tEYYQ5VDR5COt9a+BX0/a9uUJf08BfzbFcXcAd0xzzv3Aa8s7UlFLvmiK4VCCgi7gdVa/q0+r10EsleWJY4M0uG2sXeTM6FwUtKZzKEzPaJThUJK2BieuMtxCTZWaJeza2DjrvsVcxcrPdCXSxXzHi7dMXttZeXaLib+5bjd1DgsHT/t44tgQl25p5ooL1lb82maTwe5Njbx4apRkJrfkcj2XmnpXcUYvX9BnfdDwRZIE4mm8i8wjXynGS3SNhNlRhQ+iE/mjxRrYM+X0u2xmlKHoGY2yaY7l8YRYLOkAJmqqoDW9ozFGwylaPI6aldzZ3FKH2VA88nIf8QrnkObyBTr6g5w6E2EknGR9k6ssgSzAQCCOBjY0TV1fdrJ4Ksu+pzorOitd0Jqrd7axba23YteYSZ3DwnAoyS9f6GZLax3vet3Gqv07u2hzE7mC5mhfdapGLGduh4V8QTMcenVGr6A1o5EUyVQObxXzrZcypRSNbht9vnhV87EnphjMNOlgMgzqnVapNyuqSoJZUVPDoSSjkSQms1r0Cv7FMIzigrBIIsNjR/or9iaRyeU52hekazhCMJ5mQ7O7rDN2mVyBRrdt2mYJkzmsZnp9MY5UsOau227hrbvX07bAFrHlcCaUoK3ByYeu2Fq2ihhzsa7BSYvHzqEeSfTyO00AACAASURBVDWYjdN6bt5sOJ4hFE9jsxpV/b0tdR6HlWyucFbgX2ljKQa2GVIMxtS7bYTiGcKJpVEpRqx8ct9L1EwuX6DXF2M0kqJ9jjOJlWQ1mzi/rZ5jA0GeOznMG88v763oRDpHR3+QXn+MdCbPxmZ32d+gd7Q3jNeQnQvDUJy/rp6O/iC5fKEiAcNgIE6zxz6nfMdMLk/XmQjrm1xl/XCze1Mjuzc1VjUfG4qzaO+7fEtN0meWG4vZwG230DMaY+/2NUAxBSm4yNbOK5HTZgZVLNG1bo4fXBdrLMXAM4f/ly6bGUVxcav82xfVIB91Rc0MBhOMRBI4reb/n733jo7sPM88f99NlQuFnDvnZhYzKQZRIpUlU7Kksa2V4zhp9szs+nh2zp7ds+mP3cm7Zzy2JcvyWJZk2RItK9GURIqiSJEUc+jETmgAjUYuVK4bv/3josDuJkIVUFVI93eIgwa66vJroOre977f8z7PhtETJqIGOzvivHR2itNj9dt6z5Ys3hie5fxkDtt2GWxAISulXJUjw+H+FGXbZWiq/tuCjuvxpSdO8vgbF6t6fNlyyZXtFQ30a0URoumFbIX+ttiaoom3E6mYwUSmhOW4uJ7HVLZE2XLXdddmI6KrCi1Rg6Gp5lh0yfmY7ZUkBhXC+saJ3g3YHgTFbMC6YDkuozN55nImnS3Ns2uqhu5UlNZYiCeOjTGdXXvSzmy+zJvDswxNZhEKDHTEGzJJP50r8++/8zpnx2u7wO3pTmJoCidG66+bHZ8r4riSHR3xqh5vOi5IMC2Xotl4/9tmcWY8wzefPbdkKECATyysIz3JpXSR2fk0vGhIa7jzxGYkFTOYzjXHoitTtJgrmlVJDODK6N3AZzmgGQTFbMC6MDJdYCpbIh41NpzdjhCC3d1JkJIfvTZK2XZWfazJTInjI2mGJnNEDJW+VOOy20enC+TLNslobV1AXVO4ZV9XQzxgK/ZBg1UWs5bjoSiC9kSYizNbx9qnUHZ4Y3i2KZ6+m5mo4U/Cj8zkmcmVSefNpgZtbCbiYQMkjDYhkrsWiUGFSvRuM3W9AduXoJgNaDoly+FSukC2aNPZRBP9WlAVwaH+VqZyZX7y5tiqOmqjM3k/DGEqR0tEp6ulsZGXIzN5wrpK+yp+pg9eP8AdB7vrvqbh6TypqFH1RdC0XcKGysH+FrIlC9fz6r6m9eDwQApDU3gt8JxdFk1VSEZ0zk9kmcqWcVxZN6ePrUbYUAnpCucmGis1uFxiUEsxWwnCuNAA+VJAwNUExWxA0xmezjORKdES1Tf0hHJIVznQm+KtsQwvnZ2q+nlSSs5NZHlrLOOHISTCdQlDWInRmUJVYQlLYbse09nF40RXg5SSkZl81V1ZKSUlyyEVDbGrM0kqbjAxt3aZx0bA0FSODLRybGQWK0hGWpaWqMFc3mI6WyIWVtdN67zRUeYtuoan8w2Vr1QkBmG9NkeJiq73fGDRFdAENm4lEbAlyZYsLqULlCyH9kTjC7y1kooZDLTFeP70RFV56K4neetShjPjGcZm8/SmorQ0IZigbLtMZkoMtFdXOC7G3//8LF/72em6xvp+5q69VQcU2K6H7Xi0J0KkYgaD7XGmc/UrrtebG3a3Yzoep5qcNLfZqHRi03mTtvjG3LnZKCQiBrbtMd7AtK3ZvMlc3iSxCleCVMxgJmdS2EL694CNSVDMBjSVkek8U5kSrbHQphnq6GuLkggbPP76RWbzSxdXjutx8mKas+MZpuYLy2ZtkTqux237u9jfm1z1Mfb1tDCTN5mqU3dWCMFAe7xqf1nL8bBdj45kGCEEe7uTINkyXpU7OxMc7GtB14LT7nJEDA1dU1BVZcO4nGxUYmEdBAxPN6b7KaVkOlumaNUmMagQC+sgJaN1dicJCLia4Kwa0DTSeZOJuRKm69Ea3zy+kUII9vYkcTyPH702irnIQJhpvx2GkClYDHbECTfxQhwP63zgph1r6swe6k8BcOJifdKqjo+ma+pCWvNOBpVuXFcqSl97tKFdp2aiCMGvvHs/h/qbG0G62VAVwbU729jdFUShrkRlK79RutlsyWauaBKpUWJQoXJjcn4yKGYDGktQzAY0BSnlgla2Mx7edDo4TVU42JtifK7Iz45fumIrvmg6vDk8w7mJLPmyw2BHvOkODTO58pqHpZJRX1Jxsk4WXU8du8Rzpyeqfrxle6iqIB7xu9m6qrCnO0mhbGNvIZ2pOS8JCVgaVVE2nMvJRqVi0dWIrfyZXJlMYXUSA/Bv4FrjIUamc4EtXUBDCYrZgKYwlS0zkSkipUdykybCREIaB3pbODY6txBPWglDODeZw3Ebk+q1ElJKvvjjE3z/peE1H+vQQIqxdHHNW/um7TKeKVY9/AV+Z1ZX1Su2lgfa47S3hBmb3RrdWYCvPX2Gv3/2XF21yQHbl4pF10idt/IrEoNCjS4GV5OMGpQtt67DpQEBVxMUswENx/Ukw9M5pjJluhtsT9VoWuNh+lqjPH1ynOOjswthCKoQ9Lc3JgxhJWbyJiXLpb8OsZY37Grnd957iERkbVrfi7MFpIQdNcgeSpZLLKSiX3YzkIwY7GiPky6Ya1rPRuLoYCuTmRLjW8SpIWB9CRsqIa3+Fl1rlRhUiM1H7wYWXQGNJChmAxrOxFyRqUwZXRVbwjOyvz1GxNB47tTEQhhCb2vjwhBWojJcUUsXdCkSEYOB9via/y3D03kEMNBeXYHtuB6m7dK6iEduJaFsZos4G1wz2IaqCF4dml7vpQRsASpb+fW26JrJlckUrVVLDCoYmko8rDMUWHQFNJCgmA1oKI7rMTKTZzpXprNl41txVYMiBAd6W4iGdFIxo+FhCCsxMlMgpKt0JOtjYzSdK/O9Fy9QNNeWfNbVEql6CM5yPGzPozPxzsHAjmSY/rbYlulkRkMaB/tSvHFhdsuEQgSsL8mogWXXL21rQWJQdtYkMajQGg8xMVdaU5piQMByBMVsQEMZmy0wmS0RNbQtZbOjqQq7uhIbwgdzdCbPQNvqwxKuxrRcXjg7xVtjqx8E++U79vDr9x+s+vGW4+J5clHvYVVR2NvTgmk7lKytcTG8YVc7BdPhQhBvG1AHYmEdUUeLrnpJDCrEwzoSycWZxkfvBmxPgmI2oGGYtsvobIG5nElny/oXfVuVh24Y5J4jvXU7Xl9blGRE58QazP2FEAtxltVgOR4IQcsSW5r97TG6U1HGmpBD3wz29Sb5g4eOsKd79b7AAQEVdFUhEdE5N1GfYrZeEoMKUUNDVQRDgW42oEEExWxAwxidKTCZKRGP6IHNTgPZ051kVx09OYUQHOpPcXY8u6ro1TeHZ3nk+fM1PddyXAxFWbIAjhgau7sSZArWltiaVxWF7lR1YRIBAdXQGgsxnTUprtGiS0rJTK5MsU4SAwBFEbTGQgxN5gIXj4CGEBSzAQ2haDqMpQvkihadya2hld2IDE3mOHMpU/fjHh5oxXY9zo7XPiH91liGs+OZK1wJVqJsuRi6Skhf+qZnZ2eCRNRgaot4tFqOyzefPccr54NBsM3Mm8OzyyYDNot4REdKuWaLrmzJJl0wCddJYlChJWZQNJ0t5UwSsHEIitmAhjAyk2cyU6QlZjTdd3U78cypcR59ZaTux93ZGacjEaZs1d6ZHZnJM9ger3oozpOSku3SGjeWfU5rPMRAW4ypLeJqoKsKE3NFXjo7td5LCVglmaLF3z97jr99+iyOu747BhFDI6QpnF+ja8BsnSUGFWIh38kmsOgKaARBlRFQd7Ili0uzBYqmu+hAT0B9kFIyOlNgsGPt/rJXoyoKn//AUW7c01HT8/Jlm9m8WWNYgofjeHQsYst1OYoQ7O1N4nmSXGltoQ4bASEE1+/uYGSmsGVsx7YbJ0b96OeJTImXzq1vh71i0XVhavUWXVJKpnP1czG4nJCuEjU0hoJo24AGEBSzAXVnZDrPZLZMWzy0LiEC24XZvEnRdBioIZigFoQQSClr0r5Wtjh31Jj85bheVdZiPakova0xLqW3RiLYdTvbEAJeHZpZ76UErILjo2m6WiJ85q693Ly3thu/RpCMGmuKS65IDEK62pAdtdZEiLF0YUvFUwdsDIJiNqCuzObLjM+VsF2X1vg7PUMD6sfovM3NYJXBBLXiScl/efQYP379Yk3P6UlF6G2tfrjJcvzt2bbYysWsoans6U6SK9m467ytWw+SEYO93UleH5oJsus3Ifcd7eN91/VzeKAVVVEoWc66DijGQvMWXavcyq9IDFqijQm3iYd1PFcytkVuRgM2DkExG1A3pJQMT+WZnCvSEQ+vWyLWduHibIGQpjRswE4Rgo5kmJMX56qeQD462MbvP3S0pq6OZbtomkIsXJ2V12BHnLZ4aMtcEG/d18XRHW3rrrkMqJ093UkO9KUAX2LzJ48e45mTE+u2Hl1bvUVXRWJQLNt1lxhUiIU0FEUEutmAuhMUswF1YypbZjJbAuFvdwU0loduGOT3HjqC0kApx+H+FJmiVVXh6Em5qu6i6bgYqkLYqM6+rSVqMNgR3xAT5PXgYH+KB68fCOzrNhkvnJlk/LLErXhYZ0dnnCePja16m78etMZCTGXLNVt05eYlBoauNWxoV1UUWqIG5+vkhxsQUGHFV6wQolsI8SUhxKPzXx8RQvxW45cWsJlwPcnwdI6pTImuZGRd4123C6oiGp5AdqAvhSLgZBUBCqPTef7tt1+tyRpISknJdIhHdFSl+gvo3u4kqqJsGZsfz5OcGc+sytc3oPnkyzbff3mY4yPpK77/wZt2ENJVvv2LIVxvfWQjFYuu0RrTtmYaLDGokIqHyBYtMsXNP8QZsHGo5urxV8BjQN/8128B/7JRCwrYnIzPFZnMlNBVhVi4sSfDAD8m+PsvXSDb4Kn+aEhjZ2diYWp7OYZnCpSs2rTSjiuxXI/2FZwMrqazJUJ/W5TxLSI1GJ7O85Wfnubk6OpT1wKahy+9gSODrVd8Px7W+eBNO7g4W+DZt9ZHbhAxNPQaLbqaITGoEJsPRhkJpAYBdaSaYrZDSvl3gAcgpXSAoH0QsIDjeozO5JnNmXS1BFZczeDMeJZfnJlCq6GbuVrefbiX917Xv6JudmQ6T1s8RLyGmxnfyUCuaMt1NZqqsKenhZLlYNqb/3S0ozNOKmrw6oXA1WAzcHwkTXs8RPci57trBls51J9idDq/LmlXihC0xUMMT+Wqlv00Q2JQIayrhAw1iLYNqCvVvGoLQoh2QAIIIW4H6h85FLBpuTjrx9aGQypho7ohnoC1MTpToD0RWjL+tZ7s7UlyqL91WelIJXmoFn9Z8J0MpCdpr8KW62oG2mJ0JiOMpWvbTt2IKEJw/a52zk1kyQbbrxuaoulwfjLLkcHF3xNCCD5x+24+fdfedZNbJaMGZcutOi2vWRID8H8+bfEwozP5YOgxoG5UU8z+D8B3gL1CiGeAvwb+RUNXFbBpMG2X0Zk86bxJVxBb2xR8PZyfstUsprNlXlwmqWo2b1IwnZrXZDkuiipWtbUZC+vs7EwwVzC3RN779bvakRJeD7qzG5qJuSKaqnBkoHXJxxiaihCCuYLJyYsrS3TqTSykgYALVejXmykxqJCI6NiuXNdBuYCtxYrFrJTyZeBe4E7gd4GjUsrXG72wgM3B6EyeqUyZZEQPprGbRLrgF46NCktYjGMjs3z3xaU1upqqcNehHvZ0J2o6ruV46IpCpEong6vZ3Z0gYuhMZTe/s0F7Isxge4yzE9n1XkrAMuzuTvLHH7uhKi/lx14d5ZvPnm+684ahqSQiOuereC3lSjZzTZIYVKjsKA2tMXo3IKBCNW4GfwjEpZTHpJRvAnEhxB80fmkBG52CaXNxtkC2ZNERdGWbRq5kk4zoDQtLWIzD812oU0u4GrREDR68fqDmQa6S5RAJaau+EWpPhBloj/mWcFuAT921l8/ec2C9lxGwBJUdAF1TqpIQvP/GQRRF8I8vXGh6KEZrLMRkpkTJcpZ93EyuzFzBoiXSvMFdXfUtuoamghu3gPpQzW3Y70gpF65gUso08DuNW1LAZmFkusBUtkQqFmraHX0A7OxM8D9+9Hq6U9XdQHieZCZXXtPFtDMZpi0e4sQSxezF2QJ2jfo31/MoWy6tsdVvbSpCsLenBdvxavbV3IgkIwaKIvDWydYpYHlevzDLnzz6JrkqXUQqN3lDkzleWkam0wjiYR0ky1p0LUgMTLvp3uCpmMF0zqSwBd63AetPNRWIIi67BRVCqEDgiL/NyRYtxtMFiqZTczcuoD5UO1ySL9sMTeWYmFu9jZUQgsMDKc5P5N7R6SlZDl/80QmeOTle0zEtx8P2PDoSa+vq97ZG6UlFuDizNWy63hye5T9973Uef+NiMCCzwTg2ksZ0vJocO961p4M93Ql++Nooc030RY6ENDRNWVZqUJEYhJooMagQDxsgqcmXOiBgKap59T4G/J0Q4gEhxHuArwP/1NhlBWx0RmbyTGbLtCXCqA1MoAq4Estx+c/fe4M3ahgSMh0Xz5MUSstvN67E4f5WFMEVqUfgd34ksGMVTgaeK9ds5xbWVfZ0J8mWbVxv8xd/+3qS7OlO8tTxS3zxxyfWdBPSaBzXo2iu7XW1WSjbLmfHMxweSNXkUiCE4KO37OKGXe2E9ebNFVQsui4sY9E1mzeZK1gkmigxqBA2VEKawtBkUMwGrJ1qitl/DTwB/D7wh8DjwB83clEBG5uy7TKZKWHbLq2x6g3yA9bOpXTR94OsQWNq2i5IKLtr82Ptb4/xxx+/gd1dySu+PzKdRxHQ31abhtdyXFAELbG1X0h3dCRIRXUm5ja/djZsaPzSbbv5zF17yZVs/nwVXe9GI6XkxGia//Lom/yn773O2fGt79Z4emwOx5McXcbFYClaYyE+9K6dTbcurFh0TS8yICmlZCpbomjatKxD/LgiBK3xEMPT1fvhBgQsRTVuBp6U8k+llJ+UUn5CSvnnUsrN71IesGrm8ia5kk00pKMEsbVNpbIlN1DD8FfRclAUgeN4a+pcKkIQWqSzNDKTpzsVXfTvlsOyPXRVEA2tvZhNxQwGO+JM5za/q0GFwwOt/OH7j3Kgr4XyBgqGKNsuf/3Tt/jbZ86iqQqpWIhvPnd+S4RXLMex0TSJsM5AjTsQlzMxV+RLj59smpdwxaJrsYCC9XAxuJpE1MBcotgOCKiFatwM7hJC/EgI8ZYQ4pwQ4rwQ4lwzFhewMUkXTLIlm5Y1DO4ErI7RmQJt8VDVkcGO61E2XVIxg2hIJ1de27DFXMHkCz86zltj/iCY6/kZ8KvxvC07Loaq1lwEL4YQgr3dSZA0POK3mcTCOp++cy/3H/XTxM+OZ3j+9OS6dLLc+aG0kKYQ1jU+cOMgv//QEX7rPQf5tXfvr8vvcSNzzWAb91/Tt6YbeE1VuJQu8t0XLzTFG9nQVOJhnfMT7yxmKxKD5DpIDCos+OEGaWABa6Sa27EvAf8RuBu4Bbh5/nPANsT1PH8y3vVW7Q0asDqklIzUWDiajovteezoiJOMamQLayv04mGd6ZzJ8VG/mBXAZ+/Zzy37Oms6jiclJdMhFTPq1t3vSkXpa49yaXbjakxXgxACZV6X/sZwmh+8PMxXfvpW04aJPE/y4tkp/r/vv0GmaCGE4NN37eX2A92oikLY0Oif3yl45uQ4j706siW3ja/Z0ca79tb2Or+a9kSYB67t561LGV6/MFunlS1PWzzEZKZ4xeCm72JQomg56yIxqLBcsR0QUAvVFLMZKeWjUspJKeVM5aPhKwvYkMwVLHJlm0hIXbeoxu2K40kO96c41J+q+jmm7Q9Z7exMEDUMys7atoI1VeFAbwunxuZwPYmiCHZ0Jmoe4rIdD8f1aEvUT3Otqwp7u1solG3sNf47Nyofu2UnH7l5J6MzBf7rY8d55fx0Qzt8w1M5vvCjE3z3xQsko8ay9mtSSjJFi5+fmuCR585vKSeGU2Nzdbt5uG1/F4PtMR59Zbhqi6+1sJhFV65sk8772vv1tlVsjft+uGV7ewwSBjSGal7FPxFC/DshxB1CiJsqHw1fWcCGJJ03mSuY63o3v13RVYUP37yTI4PVD6CYtouqClKxEO0JA8tae4FxeCBF0XQYmc7z+oUZzo7XbnxuOR6269HVsnKKUi0MtMdpbwkztsW6sxWEENy8t5M/eOgoPakI3/7FEKcv1X/4ypOSbz13ji89cYqCafPJO/bwm+85SMcyNnxCCD5w4yDvva6fN4Zn+drPzmwJHa3luHzz2XP87MTiQ3ielDXdUCiK4GO37sJ2PH5+aqJey1ySxSy6ZnPrLzGoEA/rfkT39NJ+uAEBK1HNaOVt859vvux7EnhP/ZcTsJGRUjKbL2PZLrFwUMw2m1zJJhbSFracq6FsOxiqSjSkkYqFcKTEcb01dWP29bSgKYITF9OcGJ1joD3G3p7kyk+8DGu+c7qWwITFSER0drTHeW1ohp3UFq27mWiNh/j1+w9yYjTN/t4WADJFa803md58t10RgrCucu+RXu4+3FO1e4YQgncf7iUe1vnOC0P8tydP8VsPHN7U9n1nx7NYjsfRRW4ipZScHc8SD2n01uDm0ZmM8Ln7D9LfVt+bucVQhKA1FmJ4Or9QdFckBtVE8jaaqKGhqoIL0zn2zb+WAwJqZcViVkp5fzMWErDxyZVt5ooWIV1tyMXp5MU0P3xtlMH2OHvnvTZrMSff6nz96dNEDI3P3ltd3KmUkqLpkIwaaKpCImIQC2nkShat8dUHXYR0lbsP9xDSVTJFizsOdtd8DMvx0BTFN06vM3t7WjgxmmYmV97SgR6KEBwdbAP8QvZP/ukYB3pb+OBNO4iGarOAklJy8uIcP3xtlE/evof+9hgfetfOVa/txt0dxMM6cwVzUxey4AclRA2NnZ3vvDkyHY9C2SZbtGoqZuFtX+aS5SAlNf/OaqElajCVKTGVLRM21A0jMQC/U90aDzM0mUNKGcjXAlZFVe8eIcSHgKPAwpVBSvl/NGpRARuTdN4kV7JINKAAKZRtvv2LIXRV4dTYHK8OzSCAP/74DURDGtmSRdRYPwuZ9cZ2PC6lS9x5qPrC0XI8bMejq8V/28ZCGsmITrZkr6mYBbj/mn7eHPYHWHaswsnAclw0VWnIEGF7Ikx/W4zR2eKWLmYvJx7WuetgN08eu8TQZI6P3rKTA33VaasnMyUefWWYcxM5upLhug1v7b+sy3Z2POMPitVY8K03tuvx1tgcR3e0LVqUly0H2/FQVYFluxg1Ojo4rsef/fA4A20xfvnOvfVa9juIhX3XgOGpHB3JyIaRGFRoiepMZ0vM5s1t854NqC8rFrNCiD8DosD9wF8AnwR+0eB1BWxA0nmTfMmmq7v+W1PRkMZ7rxtgV2eCtniIS+kiY+nCQrfiuy9e4PxEjl1dCfb2JNnXk6QjEd42d/GX0gU8KRmswV/WdFxs16NnfisxEtKIhXUya3Q0qHBiNA1AT2vtCV4lyyEeaczNiaoI9va0cHYiS8lyiDTZqH49UBXBvUf7ONCX4pHnz/PVn53hpj0dfORdO5eVpfz49VGeOTmOoal84MZBbtnXVfdOqudJHnt1lHTB5NN37t1UW8mXZgtYrrdkUELZ8uUyEUMjXTDpTtV2btRUhZt2d/DEm2NcM5rm8CoCGaqh4hpwbjILgg0jMagQm/eaHp7OBcVsA7Fdj7mCie34UjNDU9BUBV31P2/mXZRqzvJ3SimvE0K8LqX834UQ/wF4pNELC9hYlC2H2YKJpqroWn0LENv10FWFmy+zvelvjy3Y/QDctq+LVDTE2YkMp1/xB14O9rXwK+/eD/iDTlvZ53JkfhJ5oBZbrvnhm8rFoZK4s1xWey2MzhToSIRRldpeD47rYdouvanGden622N0p6KMzRbY29OY4smTEtN2Cesbx9mjtzXK777vMD85NkbRdBYtZD1PIoSvbzU0lZv2dPKea/sWCop6oyiCz967n7956jRf/dkZPn7rLq7f1d6Q/1e92dGZ4I8+ev2SOwgly8HQVTqSYTIFi+7qjUYWuPtwD8dH03zvpQu+60iD5Aat8RAjU3mSEWPDSAwqhHSVqKExNJnnxt1rsz8LuJKy7ZLOm8zmy8zmymRLFpmijaIIDFXB0BVUxS9kQ5rv+x0xVEKaiq6p6KpA11Q0VaDPF776fBG8kUKTqnnXVPIhi0KIPmAG2N24JQVsRNIFi1zRJhqub8E4nS3z5Z+c4pdu28W+ZYqOfb0tCx2ddN7k7ER2Iefcclz+3T++RldLmL09LezrSTLQHqu5yNrIjMzkaY2FatIQm7aLrilXPKctFsKTEttx0WuIxF2Mz3/gGt9otkYsx8NxJe3JxnVgIobG7q4Ez52awPW8ur0WvHkdcq5kky1ZFMoOfW1RemrsyDUSTVV433UDC8M+4+kirw7N8MC1/YylC/zg5WHuOdLL0cE27jnS25Q1JSIGv3H/Qf72mbM88vx58mWbOw92b5ibgOVY6j3neZKC6dCRCNOZjDCRWV2UsqoofPzW3XzhRyf4p1dGePj2xlxeK/+OibkSHQ18762W1kSIsXShLuem7YyU/utyNm8ymyv7IUdFm1zZxPP8Lnh7PITjSizXI1+2kZ4fiuJKietJPFfiyflhUMUvYkOaX8Qamjpf/IKhq0R0lbCuETJU+tti6zbnUk0x+z0hRAr4d8DL+E4Gf1HNwYUQ7wf+X0AF/kJK+X9f9fch4K+Bd+EXyZ+WUg4JIdqBb+KHM/yVlPLzlz3nSaCXt4vsB6WUk9WsJ2D1zObL5ErWFd3SteJ6Ho88fw7X82ryKW2Nh7g5/vbdu+tJ7j7cw9nxLE+fuMRTxy9haAofu2UX1+xow5MSAZviwrkUt+/vpmDWlt5VslwiurZQ9IOfKBWbTwJri6/tgrHaDr3puLiepLPBF9SdqG8oNAAAIABJREFUnQmOjaSZypToaV3961ZeVsBmShbFsoMrPeIhndaYwWze3FDFbIXK6/3sRJZn35rg9QszFEyHZERfl65c2ND4tXv288jz55naBPGlZy5leObUOB+/dfeiLhFl28VyPPraonQmwziOt+pCrLc1yrsP9zCWLqzZbWQp/JkDgem4G9JaMRHWuehKxtLFRYftApbGk5Js0fIL2HyZubxFpmRRKNuoqkIspNHfFq9pF8mbL2xdT2LZLrbjYTouedPC9VgoeB3Xf4yUknuv6eNglVr9elONm8H/Of/HbwkhvgeEpZQrGhsKIVTgT4D3AaPAC0KI70gpj1/2sN8C0lLKfUKIzwD/D/BpoAz8L8A18x9X86tSyhdXWkNAfXBcj9m8iSe5ojBaK08dH+fibJFP3bmHZGT1J9eIoXHf0T7uO9pH2XI4P5nj7Hh2ofvw1tgcP3h5hF1dCXZ3JtjVnaA1Vj+z/mawq6u2k7vreZQsh77W6BUnr1hYIxk1yJVs2tY4BLZaLNtDVUTDL6it8RADbTFOT2RqLmallBSt+Q5s0aJgOrieRyykc3RHKwf6UnQkwpybyPL4G6MNK0DqwV2HeuhtjfKj10a5eW9nTVZb9UZTFT55xx6k9IvtTNEiFtqYg51vjqS5OFv0I1cXoWy7OK5HX1uMaEgjEdHJFG06kqv72d53tG9B/tEIFEWwv6+FouluyJ93dN528MJULihmq8BxPeYKFumCyUyuTKZokSmYFC2HsKYSi2h0diVW/V5XhEBRBbpa3XV/JlfGUNevYbRkMSuEeHiZv0NKuZJu9lbgjJTy3Pxz/hb4GHB5Mfsx4H+b//M3gf8ihBBSygLwtBBi38r/hIBGM1ewyJVsoiGtbifa0Zk8Tx0f47qdbQv2QvUgbGgcHmi9YpAirPtT1KcvZXhtyA+vS8UMfvuBwyQi+oYuRMCfNs+XbXZ2JqoW6Ju2H0rQnbqy4x01NKIhf1hlvXjbyaCxg1mKEOztTXLq0hz5kk18heltKSUlyyVXssgWbQqmje1K4mGNIwMpDva10pEMX/FaaY2HiIcNMkVrQw+u7OlO8rsPHlnvZQD+7wXhO3R8+YlTpGIGn7l7X11vlNeK63mcvJjmYF/LkueGsuWgqQqt8RAhTaUl5r8OVruFX9E3pwsmpy7OcfuB2i3vViIeNline9gVURWFVMzg3ESOezbGS3XDYVb0r/MFbK5kM1ewsBx/0LUlatDXFluX69l6b3wudzX5yPznLuBO4In5r+8HnmTlIbB+YOSyr0d5O4DhHY+RUjpCiAzQDkyvcOwvCyFc4FvA/yUbmecYQLpgkinU1zLl9KUsiYjBB2/aUbdjLsWurgS7uhJ4UjKVKXN+MstYukg8/LZTwvB03u/czj92LZ3ievPSuSleOjvNv3n4BqoVqZq2i+vKdyRsCSFon+8orhfl+aEpo86DhIvRk4rS1xpjbK7Agcg7t7/eLmArGlgbx5XEwhqHBlIc6mulPRlGX+Li0BI1aIsbpPNb29O2Eeiawn1He/nHF4b48hMn+bV7DpDYIHZRQ5M5Spa7aFBChaLlENZVYiEdVRGkoiEm59Yun3j53DRPHb9ERzK87BzBVqQlFuL8eLYuASBbhYLpRw+n8/MFbNkmU7RxXY9oWKMjESIejtcUprMVWbKYlVL+BsC8tOCIlPLS/Ne9+PKBlVjsJ3t10VnNY67mV6WUF4UQCfxi9rP4utsrDyzEPwf+OcCOHY0vmLYqnpTM5MqYjltXYff91/Rx2/6uptomKULQnYq8o1u5uytByXI5PpLm5XP+fdS+nuRCOMF6OyWMThfoa4vWNMRk2q5/gV1ETtEaCyGlxHLcpm83e56kZDn0pKJN0TAbmsqe7iQ/PTaG63qoqoKUkrLtF7CZol/A2q4kGtI40JficH+K9mS4qp+Noal0JiNc3KLxuY3mht0dxMI633jmLF96/AS/du+BZSNzm8WxkTSGprC3e/Fi0nE9iqZvb1XZLelMRnhjeAbXk2uyOLrnSC/HR9J854UL/PP3Hd5WwTGxkO+HOzKVo2Xn5nC8aASW4zKZKTGRKTGXN8kWLXJlG0UIYiGdvtYoEWPjuKhsBKqpJHZVCtl5JoBqIohGgcHLvh4AxpZ4zKgQQgNagNnlDiqlvDj/OSeE+Bq+nOEdxayU8gvAFwBuvvnmoHO7Siodq4ih1uXOb2gyR0hX6W2NNjTxphZu2N3BDbs78DzJ+FyR85O5hW0aT0r+8/ffIBbS3u7cdiaINekCY7sel+aKNW85mvOF6mI/41hYIx7WyZVs2hPNLWYtx8VxJZ1NLFgGO+K0xUNcmM4TD+tkSxb5so3teEQNjf29LRwaSNGZjKyquO9qiYD0t53D28DTtt7s723h1+8/wFd/doYfvjrKr7x7/dVlfW0x4hF9ySHH8vxATP9lXq2pmEEsZJAtmmsKJdFVhYdv382XnzjF1352ms/dd3BL2w5eTlj3raGGpnJcsw2L2VzJZnyuyGSmyGzeZC5voqp+AbuzM7FtXgeroZoz75NCiMeAr+N3TT8D/KSK570A7BdC7AYuzj/vV656zHeAzwHP4ocxPLGcZGC+4E1JKaeFEDrwYeDHVawlYJWk8yaZQn1Sv4qmwzefPUcsrPF7Dx7ZcHeViiLoa4vRd1lKketJ7jrYzfnJHK8NzfDCmSkA3ntdP+8+3Hhbo/F0EderLSxBSkmx7JCM6otuj8fDOsmoQbbUfJ2n5Xi4nkdHsnkDeC1Rg8GOOC+dm2YmVyZiaOztaeFwX4qu1OoK2MtpjYdJxQ1m8mX622pPQwvw/ZN/+4FDCzs16x1rernn9WKUbRfPk1dE2CYiBi1RXze71oS9/rYYv3zHHr7+zBl+8uYY779xcOUnbQGEELTFw4zO5Df8LEO9cD1/93NirshUrsxMrkzJdIiHdXYEBWzVVONm8Pn5YbB3z3/rC1LKf6jieY4Q4vPAY/jWXH8ppTwmhPg/gBellN8BvgR8RQhxBr8j+5nK84UQQ0ASMIQQHwceBC4Aj80Xsip+IfvFqv+1ATWTzpcpWs5CitRqkVLyvZcuULQcfvWe/RuukF0KXVW4+3Avdx/uxfU8xmb9zu2u+WnbbMlCU5SGdZlHZvJAbWEJtuthui47k4s/x9f5aczmmz8EZjkeAKkmT6HcsLsdTVPoS0XpaY3WVV6RiOi0xkKMzRbqdsztSOXGynE9vv70GW7Z18Wh/ubb/FycLdCeCC87kFa2HHRNIXmZrjMa0miJGczm62M7drA/xa/cvW/bTfYnIjpjs5KJuVJdrSA3GmXbZXKuyKW5kj/UlSvjIWmNhuhrrU1WFlBdZ7biXFBz6peU8gfAD6763v962Z/LwC8v8dxdSxz2XbWuI2B1lCyHdMFCnzdNXgtvXJjl2EiaB67t31AxirWgKgqDHXEGO/wi0ZOSr/3sDK4n+e/u3U+iAUNjt+7rYndXsqbBGHN+C7RniYStyhDYmUvNHwKzHBddbVzxvxTxsMHt++s/HQ6+FrsnFeXseHbdO4pbAdfzfX2//Yvz/P5DR5s6COR5/nt6Z2ecT925d8nHFUx/ejx6laykKxnm5GjaN5yvw+vgwLxnp2m7nBhNc8PujjUfc6MTC2kIARemcluumJVSkilaTGRKTMwV/Z3PokVYV+lORerqGLTdWLFCEUI8LIQ4LYTICCGyQoicEGL9RqEDmkY6b5IrmWvWh2aKFt9/eZjB9hh3H+qp0+rWH0UIHrx+gLmCyZceP0W6AZ1OTVVqLv5N2+9+LmcR1BINgQDTdta0vloxbRdNUwjrW0tb2pGMYOgquXJtwRYB7ySkq3zyjj24nuSR587hec0beRiZyZMv2xwZWNrFwHJcypY//HV14ZGKhTB0lUKdXwe/ODPJP/xiiOdPb/18IE1VaIkaDE1tnTLDcT0/ie/8NC+dneLV89MMTfq7bru6EuyYn8MICtnVU0277d8CH5VStkgpk1LKhJQy2eiFBaw/6YJJtmSvuTMSC2ncfqCLh2/fveXsQ/Z0J/ncfQco2w5fevwkk6uMtFyMXMni0ZeHmc7Vtm25WIzt1cTD+sIQWLOoBBG0RIw1TXtvRFqiBu1xg9kaf1cBi9OeCPPBm3YwNJXn6ZPjTfv/HhtJo6mC/b1LW2JVkr8GFukaJqMGrVGj7hKeOw/2cLCvhUdfHub4SLqux64X9XTIbI2HmM6ZFMpW3Y65HhRNh/MTWV44M8nL56Y4PppmIlOiJWqwrydJd6q+kqftTDXtkQkp5YmGryRgQ2G7nn9hlqxpQtvzJJqqcP81/XVc3cZioD3Ob9x/iK/89C2+//Iwv3H/wbocd3g6z3OnJ7muxqnekuUQ1jXCxtInyXjYTyzKlWw6ktVHCa8F2/WDHNoTmyt9rRqiIY3WeJiZSyuGIwZUyQ272jlzKcOLZ6e440D3quOTq8WTkhOjafb1tCw7dFO2XEDQuUgEdzSkkYgaXKyzflpVBJ+8Yw9//eRbfOu5c8TCB9ZdSyul5OJsgYH2OK+en+bUWIZfvnNPXeQVsZAOEkZmChzs0/GkxJP+//PtzxLPe/vPUnLF5yu/5z+v0uXXVF86p6kKuqagq8rC12tFSsls3mQiU/JdCXIm+bJNNKTT1xZrqh3ldqKan+qLQohvAN8GFm43q0gAC9jEzBVMsiWLaGj1EoPJTImvP32GT96xh/62raV9upruVITffOAQeh3j/EamC2iqeIcv7nK4nucP7KWiy15UQrpKIqwzk23eEJjleDiuR+cqE5I2Oj2pGMeG0ziui6YG3Za1IoTgwzfvxJOy4YUswKV0kWzJ5n3LSAzAH/4KacqiGnlFCLqSYc5eytRdP21oKr/y7v186fGTfPfFC/zBQ0fXbafLcT2+++IFXh2a4bcfOITleBwfTfPMyfG6uLyEDZWQpvDS2Wnfw7lSnAJSVj78IlXCQrHreR6uBOnNF7AeeEhczy9swT+OQKBrCoamoGsquqqgKgJNFQuNAD/YRV0odHVNQVMFmqpgzBe+lxe/luMylSlzaa7A7HzAgeN4pOIGe7qT28KZYT2ppphNAkV8N4EKklUMhAVsHuYKFpmiverCw3E9HnnuPKbtbpskl7a433F0Pckjz5/nuh1tHFzDNPboTJ6+1tqiCRdibBfpGl2Ob4ET4tRY8zqJluPhedC2UfM010hbPEQyqpMu2HQmg2K2HlS6WK4nOXkxXdfo66vpb4vxh+9ffuBMSknBdIhH9CXdDtoSYVRVoWi5fghAHYmGNH7t3v0gWbdCtlC2+dtnzjI8nee+o70MtMcYaI9xYSrHE29cZLA9zq6utXWNFSHY1Z1gPF3iUrqAwD9n4f+HEAL/S4EQfnGqCIEQAkMVKJp/DEWZ/wAURfGfIwSe52HaHpbjYtkuJcvBcyWulDieh+dKHE+iKAJV+MO/uqZg6Cqh+SJWVcTC98K6StlyfG/YgoWuKbTHQ8QjRl061QErU4011280YyEBG4dK6pfluP52zyp48tgYl+aK/LO7926rBBsA2/Hzs//2mTN8/NbdXL+rdvNvx/UYSxe5bX9XTc8zHRfPlVV1c1OxEIriD4GFmjCQZdkuqipIbNGbm5aYQSpmkC6YW7b7vF68cn6a7754gU/cJrluFe+naula4SbQdDxM22VP99JjI4mI/zqYK5h1L2bBT/AD/zz97KkJbtrT0bSt64m5El97+jT5ss0n79jDtTvevrn4yC27uJQu8s1nz/F7Dx1Z83m/JRryB1Ubgko1h3Y9D8eVOK6H6fguMSXbxSvbuPPdYtfzC19NCJJRgx0d8cAbdh1Y8R0ghPgyi0TMSil/syErClh3skWLbNEiauiruvsfnvaHNm7c3cGh/uW37LYiYUPjc/cd4OtPn+GR589Ttt2ai9JM0U9dq9iAVYtpuyjq4jG2VxML6yRCBpmiTVdLE4rZeVuuraoZ01WFzpYIY+n6DQEG+Ny4u4PXhmb43ksXGJhPdKsnl9JFfn5qnAeu7V/2vVO2HD/5q21ph5F4WCcZMRifa2zE8VSmxONvXOTU2ByfvffAmu0Tq+HCVA7HlfzG/Qff4X0d1lU+dede/uLxk5y6OMe7Vgie2AyoioKq+LKsGNurKbPZqObV/z3g+/Mfj+PLDvKNXFTA+jJXsJgrWsQjqys6XhuaIRU1+MA2Sa1ZjJCu8qv37OdQf4ofvDzMz0/VNpHdngjzRx+9vmbTeNN2Mar0cY2FdeJRjYLZHEeDkuUSNbSmXHTXi56WKJ4nKVvNtTzb6qiK4OHbd4MQfOu5c7h1tut6c3iWN4fTK06Wly3/ZnG5oUlVEXQkw5Rtt65rvJruVJRfum03F6byPPLc+YZZmFUGmgBu2dfJ5z9wdMkQl57WKP/ig9dsiUI2YHOx4lVFSvmtyz6+CnwKuKbxSwtYL2byZYqms+oQgA+/awe/+cChbb/VoqsKn7pzLzfv7WRHjR1W8LVdteitpPTN5uMRvSq7l7CuEg8bDb/ogi+bMG2X9i2+/d4SC9EWDzETWHTVndZYiI/cvJPRmQI/PTZWt+NKKTk+mmZPd2LFm8CS5RBS1RW9t9sTYZBQbrCP87U72nj/DYMcH03z6CvDdbXHgrcHvf70sWPM5k2EECvurFQ0xyPTeYYmc3VdT0DAUqymRbIf2FHvhQRsDIqmsyBgr7WDdmEqx1zBP+ElG5CGtRlRFcFHbt650Mk4dXGuqg7KXz5xsmaDdHte19VVg9VWRyKEZXl1vwhejeV42J5H5xa05bqcSrRtNghPaAjX7mjj3iO9dY25HZ8rMZs3lw1KAN/WqWA6tMZDK54bkxGDlpjBXKHxPql3HOzmzoPdvHRumqls/W6iiqbDV546zUvnprn9QDepWPXndG8+vvzvfn6WbGlze8UGbA6qSQDLXZX89V3gXzd+aQHrQTpvki2axGscXMiXbb7xzFkeef58g1a2+RmdyfO1p8/w98+ew3G9JR+XLVpcmMrXvG1o2t58jG31iWHJaAhFEQ3vzlqOi+dJ2hPN8bRdLxThW6mVLbfhNwjblfdc20/fvNVfPeQGx0fTKAIODSxfIFfCEpbTy1ZIRHzdbL5JoSTvu36A333f4RUH2KplKlviiz8+weh0nk/ctpsHru2vaZdIEYJP3L4Hy/H45rP1l4UEBFxNNTKDxOXJX1LKA1LKbzVjcQHNJ10wyZcdWqoYIKogpeS7L16gbLt86KadDVzd5magPc5DNwxwfDTN154+g+UsXkCOzviG64MdtXnzmo4LcvkY26uJhzWSUZ1ssbHdE8vxQIhtYdPWmYwQ1lWyxaA720i+/9Iw33ru3JpvGiKGynU721d0binbLo7r0beEXvRyNFWhLRGi1CTttH8T5RfZr1+Y4fQawztePDOF5bj8+v0HV+0e0dUS4SM37+TCVJ6fvHlxTesJCFiJqvaRhRAPCyH+oxDiPwghPt7oRQWsD5bjMpMrI2FJD8XFeOX8DCcvzvHe6/prMvjfjtx5sIeP3bKLcxNZ/vrJtxa92I3M5NEUUVOHFS6LsY1UP3UbD+skwjp5s7EXXctxMZTqBtM2Oy0xg7Z4mNlCoJttJMmozrGRNK+cn1nTce482MMv3bZ7xceVLQdNVarebu9MhvE8ib3ETWsjcD3Jz09N8Hc/P7uqFLLi/HnA7/QeqdlN5Wqu39XOu/Z08LMT4wxPBfrZgMZRjczgvwK/B7wBvAn8nhDiTxq9sIDmM1ewyJctosvEoF5NOm/y6CvD7O5KcPuB7gaubutw054OPnXHXi6li5xfZEBidKZAb2u05sSYsuVgaGpN1leGphKPGEt2ieuFabu+4fg2GAqMGBptiRBFs3lFzHbkrkM97O5K8IOXh5lepVZ0rmBWvQVetBzCulq193YyEiIe0ck0eNfjclRF8Kvv3kc0pPHVp05XPYjoeh7fe/ECX/jRcUrzRXuyTrsoH7hxBx+8aceSDggBAfWgmqvlvcBDUsovSym/DHwQuK+hqwpYF9IFk0zRrsqjtEIkpHHdznY+fuuuIOmkBo4MtvLff+jahaGTyy+ova1RjgzW5s/rer6TQXsiVPPvoT0RwmygxtOTkqLl0hoz6hrvuZHpbY1iOS6OGxS0jUIRgodv242mCr753PI69KX46lOn+cYzZ1Z8nON6FE2HzpYwapXe28moTipmkGmSbrZCImLw2XsPICX8zVN+wMFylCyHv3nqNC+cneLoYFvdbzh1TeG2/V0oiiBXslf1ewoIWIlqitlTXOleMAi83pjlBKwXb6d+eVVvBUspCesqH7l5Z00FcIBPRT96fjLLnzz6JlNZ32z/gzft4M6DPTUdy3JcbFeuagAkGTHQNYWy1ZjCy3Y8HNfz7Yq2Ca2xEMmITnrenzOgMSSjBh+7ZRczuTITc7WFVUxlS0xmy8umeVUo2+58WEL1OnZDU0nFQuviOdyRCPOr9+wjV7I5Pppe8nHTuTJf/PEJLkzl+aVbd/G+6wca1pQomDZ/+tgxfvx6oJ8NqD9LFrNCiO8KIb4DtAMnhBBPCiGeBI4DgSPyFsNP/bKJGmpVJ7NL6SJf+NGJwE+zDkQMDdNx+csnTnF+Iou3ig6pabu4nrcwBFIL8bBOIqKTaZCFjt+h9GoaTNvsJKMGrfEwc8EQWMM5PNDKv/zwtfS31zYweXzEL/JWsuQCv5j1PElva23vr86WCJbjrcs0/0B7nM9/4Ci37ls6ffCHr45Qslw+d98Bbtjd0dD1xEI6RwfbePatCU4sU2AHBKyG5Vpw/36R7wngbuCfNWY5AetFxZKrGp2UlJJ//MUQubK9ZaNJm0lPKspvvucQ/+3Jt/irJ9/C0BT+50/cVNMxTNtFCLGqmM9YWCMeNpjNN+bGxHI8kNQ9gnQjo6sKXckIozNBWGIziIV0pJS8OjTDgd6WFUMNwLfkGmyPVXXOK1sOhl67jjQVDREP62SKJm3x5t/MVXbMLs4WeP3CDO+/YRAhBI7roakKH7tlF5bj0dqk9+ZDNwwwOpPn278YojsV3VbnhIDGsmRnVkr508oHkAE+BPwV8ADwZ81ZXkCzmM2blCyHeBUXgalsmUtzRe492rstptObQXsizG89cIjOZJgbV9EhMW0XQ1udW4ChqSQiOpbdGC2babuoqlJVgbGV6EpFkNA0e6btTrpg8d0XL/CPLwytqP+eyZUZnytVrU0vmA5hXSNa4817IqLTEjXIFNdXbnJuIstzb03yo9dH+cHLw/zNU6dxPY9YWG9aIQu+Zdmn7twLwN///Gygnw2oG0u+M4UQB4DP4HdhZ4BvAEJKeX+T1hbQJAqmzVzBRNeUqiboT1z0t4jqmcIT4GtoP/+Ba1Y1iFW0HOJhraoY28XoSIQ45rp4UtZdM2c6LoaqEKnBJWMrkIoatM9H2waT3I2nLR7ifdcP8E+vjPDCmSlu3b/09noqFuJz9x2gs4q0PMtxKVsOu7uSNQ8wRgyNlqjBTLY2PW+9uftQD3MFi2dOTgBwx4FuBOszjNkaD/FLt+3m1aFpHE+yylNWQMAVLHebeRL4GfARKeUZACHEv2rKqgKaii8xsKq2nDk5OsdAWyyIrG0QtV4wbcfDtF36atQMXk4yEsJQFcqmQ7TOHdSS6ZCI6qjKatKzNy/xiE4qFloIwQhoPLfv7+LseIbHXhthZ2diSd9rVRFVDX7B28lfA6t8f3W1RDgxmm7IjWK1CCH40E07COkqXclww/WxK3GoPxU0QwLqynJXl08A48BPhBBfFEI8AOt0KxfQUNIFi3zZqcqRQErJrfu6uOtQbdP2AY3DdFxs16N3FcNfFWJhjUTEqPsQmO14WK5HW2L7aeMUIehpjVKynFUN9QXUjhCCj9+6m5Cm8q3nFo9RnSuYPPbqSNX+r77Lh6BzlVGxqViIkKGSa7JF19UoiuDB6wfWvZC9nHTB5K9+corpYJA4YI0s2ZmVUv4D8A9CiBjwceBfAd1CiD8F/kFK+cMmrTGggfipXyWEoCp/QSEEN+7ZOCfDAF+TKqVvx7NaYmGdeFhnts4XFd/JQNKZ2J7JcB3xMGFDJVu0Avu6JhEP63zi9t24nlzUE/bYSJqfn5pYdsr/cvwwEoXEKneikhGd1pjBXMHcFnHOtaAIwcRcib975iy/897D6Nr22r1ZCtfzeP70JGfHs0RDGqlYiFTMoK81VrOjxnZhxVeOlLIgpfyqlPLDwADwKvA/NXxlAU1hrmCRK9tVp36dvJgm28REm4CVMW3XT+xZg+xDn0/8Mets8m85HtKTtG8jW67LScUM2mLhhjlFBCzO3p4WDvT529imfeVr+vhomt7WaFWDT1JKCqZDIqLXFPF9OdGQRiJsUGpwZPRmpCVq8PDtu5nIlPjBK8PrvZx1xfU8JuaKgF/kv3xumkzRYngqz89OXOI7L1zgpbNT84+V/Ofvvc5fPnGSR54/z0/evMgr56dXnYS3FahpNFNKOQv8+fxHwBZgNm+SK9hLassup2Q5fOOZc9xxsJsHrx9owuoCqqFku4Q0hcganSXa4iEs26urts9yXBRVbFt9ddjQ6EiEmF7nAaDtyivnpvnxGxf5vQcP+zKaosXoTIEHru2v6vnmvB69Wn3tYgjhSxROX8ogpdw2KXjVsr+3hXuO9PLU8Uvs7IhvKBlEM5jMlHjl/DSvX5jBcSV/9NHr0TWF337gEOF59wzX88gWbZT5nQbb9djRkWCuaHJ+IsvrJRsJPHBtP/cc6SVTtPjyEyfnO7p+V7c1FmJnZ3zL7hAFvkrbGNeTzObK2K5XVSF0+lIGT0oOB8J9XM9jrmDRGq89PraeePMxth2riLG9mmTUwNBVimZ1Fm3VYDke+jZ0MricntYorw/P4rgumrp9fw7rwUBHDNN2+Yfnh/i1e/cvpGFVa8lVtpz55K+1be22x8NoqkLRtIkxZvOoAAAgAElEQVSFt+eN3XLcd7SP4ek8vzgzxXW72rdFNPqFqRyPvTrKxdkCihAc6Gvhxt0dCwVr+DIbOFVRrthJCOsqD9++e+Frx/XIlqwFNxspJQPtceYKJmcuZcjNRxo/fNtuUrEQQ5M5vvLTtzB0lZCmYGgqhqbw4A2D7OiIMz5X5KWz04T0t/8upKvs720hHtYpms7C/y+kKRi62rA49GoJitltTLZokS35wQfVnDxOXpwjHtZqTtrZimSKFkNTORx3dalb9cJ0/JjN7lUOp1xOPKyTjOhkilbditmS7RAxVm8ZthVIxUK+PVPepLsl0Ls1k85khPffOMh3X7zAs6cmcDyPHR3xqvXlZcvfWeiowsJrORJRnVTMIJ23gmJ2EVRF8Kk79qBrypYtZD0pOT+RIxnV6UxG0BQFx/V46IYBrtvZvqZzrqYqV4RypGIhPnnHnoWvbdcjU7CIhf2SLxHRue1AF5btYTq+W4fluKjzP/tM0eL1CzNYjsvlM5S//cAh4mGdU2NzfPsXQ1es4cbd7VWl6TWKoJjdxszmTTLF6oYSHNfj9KUM1+5o27Inm1oomg6eK5nNm+tbzNoubp0K6lhIIx7W6zZZ7HqSsuXSt80HFlqiBm2xEFPZMt0t672a7ce79nRw5lKGx9+4yG8/cIh7DvdW/dyS5RBS1TUHfsTDOsmowfhsYNO2FJWfsWm7vH5hlpv3dmwJScZs3uTV89O8OjRDpmhxy75OPvyunfS1Rfn9h4405d+oq8oVceLtiTAPXj+45OMP9qX4Nw/fiJQSx5NYjotle8Qj/u9od1eCT9+5d6EQNm2XZHR9Q3GCYnabIqUkXShTshz621butI7NFrAcj8PreOe1UZBSki/ZqKpCyXJwXQ+1irCJRmDaHkIRtNZBB6WpCi1Rg4uzxTqs7G0ng45t6mRQQVMVOlMRhqeDaNv1QAjBR2/ZxZ//8Dhj6SJ9VZzvwJfwFEyH1ngIfY3vb0UIOpMRzk/k1nSc7cCrQzP84OVhhICb93au93LWxDeeOcvx0TQC2NuT5MHrBzg4L9PbDIW6EAJdFeiqwuWXmIoW93LWe8g1KGa3KQXTIVOwCGtqValfOzoT/NFHryNSY5zjVqRsu5Rtl4H2KJmizWzeXLUH5VoxHdc/0dRJFtCeCGO7Lp4nF7Rbq8VyPFzXo6NlezoZXE5XMoIQfkc/iIBuPtGQxuc/cE1N1k+VsIS16mUrtCfCCAFl24/GDVicW/Z1cmpsjkdfHqa7JcJgx+ZIz5NSMjyd59TYHO+7bgAhBH1tUXpbo1y/qz2wZWswwTtqm5LOm2RKFrFI9S+B1fosbjWKpoPleFwz2MbJsTmms+tXzBZNm3hYq8ojuBriYZ2QrlIw7TX/vi3HRQiCkzjQEjNojYeYzZWJhjbHxXmrUauHadl2cVyPvjpFEScjFd2sSW9rcOldCkUIPnHbbv7sh8f5i8dPsq8nycdv3bVhrz/5ss0r56d55dw0M3kTQ1O4aU8nHYkw765B0hKwNgKH4m3KXMEkV7JJRlbenh6dyfOVn77FTJDSAvjFrK4pdKei9LXFKJj2ukxy2q6vVapnIIE/BGaQLa49rciyPTRNqTomeSsTD+u0xkLkA6/RTUPZ+v/Zu/PYyLIsv+/f+17Ei33nviVzr8ra166Z3veu7p7uHnlktQxII2OAsQ0JMCwZlvSHBUOAAOsPWRDgkYGxZEgyIIzGAwhuaTZZ06MZSJrurl6qu/aqrOrKhclMrrG+/b3rP4LMymQyM4NkRDBIng+QSGZsfGSSESfuO/d3QhKmQTnXnyIqn05SyFiHPgnsKMilk/y3X77E5x6fwfE/OpvRbXfrbxb2QVxba/MPvvMz/v3PlshnknzrxUX+x288daABNmJ/5O3hCeQFEestF6PHqV9vXa/zwa2WnB6luyO17QYUM0myqQSTpSyphEHT8Sllh5vf5wURQaR7ygjuVS6dIJdKstqHXFQ3jLBMg/QJjuXaZijFdCXLO1vxdrKJcvTZfkg6afbtzVjCNKjl01xfk01gvcilknz6sRk+dWkapRRRHPMv/+NlgjDmubNjvHhuYuiZqdursOmkyQvnJpipZvn4I5M8vTh21wYrMXxSnZxAmx2Plhv03Gf59lKdxYm89MvSjepx/YhzUyWUUlTyKWqFDGtN71CKWR3rvrY4mEZ3JerGxsE2K8Va43oh5UPO4R0l1UKarIy2PRLCKMb2QqYruV1H4u7XeDFNpLsxSCc5rm4vtjdKGUrxX/7iWb737i3+7J3un0dmK3z6sWmmBpgosx2p9cP3V3l7qU6sNU+eqvLCuQlMw+ALT8oAoVEg1ckJVO94NG2f6crDd/WuNh3WWi4vnu9tjvlx5/ghYRSzOFEAuuHVU5UMP/2wPwkAe+EFEWaiO4a2n6qFVHfz1n1m2/cijGKCKKZWkKJtWzlrUc2n2Wx7UsyOODeI+jIsYadi1qKYsah3PCYkc3hPlFIsjOVZGOsOA/jB5VV+/MEqz53tTgzbbgvpZUPzXvzbH17hRx+skbFMPnZ+gufOjjF+wNxh0X9SzJ4wUaxZb7mEke7p9O/bS3UAHpGpX0C3X9ZKmlTvKNKmy1leZR3HD8hYw+sPdbfH2PZ5xbyQtshYCTpusO9C2Qu6xWw/+3mPurSVoFZIsdqQ0bajzg26iR7Tfc5ILmSSlLMWG22PCckc3rdyLsWXnprjM49N345N+5M3l/nZlQ1eODfO82fH9zWEINaaD1e6q7BfeHKWaj7NM6fHWJwo8Ohc5cARbWJwpJg9YRp2d+NXJtXb1K9ixuJpiRUBuk90re1+2TsKyGohTa2QZqXhcmp8OMVsrLtjbKv5VF9Pg0K3b7aYSdJw/H0Xs34YgeauEYwCpspZfnZlgyCMSMpp5pHl+iFWsv9nPayESTmfYnlz+GdyjqM7WzXOT5dYbTr88es3+NM3l3liocpLFyZ7ekOy3Qv74w/W2Gh7ZCyT1WaNaj7N/Fj+yMSDnWRSzJ4wm22Phu1T7vFJ+qnFGk8t1gZ8VF1hFOP4EYXMaO5+3+6XvThTuivwOpdKMF5Ic/lmY2jH4m+dBp0YQCRYLpUkm06yWt//CqIfdgdJjGqczmGp5FOUs6lDnxwnHqzjdbNgswPYJzBRyvCzD9cJo4iEKW9o+uXMZJEzk0VWmw7ff3eFVz9cJ9aa/+Kl7ljX+2289MOIf/S7r+GHMafG83z2sRkenZdV2KNGitkTROvu+FXXj8jXHl4wbnY8cqnEUDYqhFHMtbU2ay2X81NFyvnR2xlqeyFhHHNqrHDX5Uop5mo53rg2vBU3L4wJo7ivSQbbzK2JYtfW978JzN8a5pCRJIO7FDMWlbzFSsORYnZE+WGE64ecnigOZEpTMWORSydp2gHVgvx+9Nt4McPXnz/F55+cxQ9jAG5u2vzWf3qfF8+Pc3GmzFtLdVbqDn/updNYCfP2eFnphT26pJg9QdpuSL3jkUqamMbD33X+7o+u0Oj4/NWXHx/ocUVxzPX1Dmttj4yVYLXljWYx64ekEibVXTIEa4U01XyatZbX9z673XhBBAqqAzqNX82niKKYKI57+lnZyfFD8plE3zdjHHUJ02CylOHKqow1HVXbk7/mar2Nvd2r7eEJ9Y6/63OJ6I+MlWD7xFAUawqZJH/46nX+8NXrAJwaz99OlRjW2UcxOFLMniCbWykGvURyeUHEB7dafGzAKQZRrLuFbMvl0dkSxWyKn7y/OtDPuR9xrGk53faM3fJ2i1mLWiHN0np7aMWslTDIpQdzGj+fSZKxkrTcgPIeI8fCrWEO0+XBFANH3Xgpg6EMbC8gKwMlRo7rR4Aa2FS/tJWgnE2x2pQhNMMyW8vxa59/hBsbHX6+0uLCTElWYY8ZWTY5QTbbLh0vpJR9+Avo5ZsNolgPNMUgjjVL621Wmw7np0t86tIMs5UcpmnQdkdrSo7jh3hBzML47hsBDKWYreWw/Ygojgd+PLYXkkslSfdpjO1OuVSSYjZBs+Pv+b5+GBPGmpqEiO+qlE1RLaRYa3mHfShiF64fYiUG2+89Xsrg+d3EBDE8M9UcH39kSgrZY0iK2RPCDSI22h6GoXrqgX3rep1sKsF8n+aS7xRrzdJGh9WWy9nJIp99fGZrp69FLZ9irQ8TqPrJ9kOiuLtB4H7Gi2nymSSb+ygA92J75XNsgE/I2VSCrGXhhnsvzP0wIo4041LM7iqfTlDJpeiM2Bs20d1X0PFCipnBvVEEKOe6Z3hktK0Q/SHF7AlRb3cjuXI95KCGUcx7yw0uzpQw+hz7BN1C9sZGh5Wmw0Itz+eemLtdYOdSSWrFNG13tGbY2153tab6gF7eci5FLZ9iY8Arbt0xtoPZ/LXNNBSVvIXv730Ouh/GGIaiOKKpFIdNbY22dYOIWMvK3Cjxwu4bxZnqYFtkClt9s5sdWZ0Xoh+kmD0hNjvdYraUe/ipM9NQ/NefvcjHH5nq+3ForVnetFlpuMxWcnzxqTlSO1ZAZms5gjAiCPdeSA1CFGvabkAlnyb9gKiepGkwU8nieAF6gEWKF3aLoIkBr3xW8ylCrQmjva3OekFEwlRkpB/0vqr5FFkrQcOWYmaUuH44kMlfO2WtBIWshROM1pt2IY4qKWZPgCiOWW+5RFHcU1SSUoqpSv9jSj4qZB0myxm+/Mz8rsVhLZ+mspUMMAocP8QNIhYf0GKwbaqSI5EwBnr60AtiEoZBcY8bs/Yqn06SSyVo7/FrcYOIdDJBKiFPL/dTynX7Zjdag21JEXvj+hGGqQbawgPd59iJUgYviAb6xlccXUEUs9JwWG+5NB0fd6vVTexO0gxOgHrHp+UGZFLmQ3MTtdb8wU+u8cSpKnN97JfVWnOr7rDScKgV0nzlmfn7jmEtZCyqhRTLG/ZQkgEexvFD4hgWduTL7qaSsxgrZFhtOX2fHrRte4NKNjXYjMp8Onl7Eli5xwiwONa4fshEOTOQjM7jIp3sRrzdqsskqFHi+CEp0+wp8eWgKrkU1tZmVxkuIu7kBRHX1tvU2x4aQAMKTMPAShhkUt2BHsmEgWUaJBMGSdM40VGIUsyeAJttj3rHo9ZDQXJj0+Z7760wXcn2tZhdabjcatiUshZffXaB3ANOQZuGYqaS5f3l5n2ntgyT7YWkkkZPBV3aSjBRynDr6mA2sG2PsS1lU/vKf92LTCpBLp2ksYcNbX4UE0aamuRnPtR0OcPPPtQy2nZExHF381clnxrK9KdCJkkpl6Le8aWYFbfZXsj19TZNJ+CFs+NcmKvQdgIatsdGy2ej49LoeCx3/I9WajUYpuouclhJ0paJlTCwEiZJs1sAH/dCd6DFrFLqK8A/Akzgn2it/9cd16eAfwE8B6wDf0Fr/aFSqgb8DvAC8M+01n/tjvs8B/wzIAP8HvDfazlPc1/dqV8ufhD1lEn69lIdpeDCTP8iuVabDrfqNrl0kq89f4p8D6se48UMmZRJveM9cNPVoEVxTMsJqOZTPe9unq1m+dmVdRw/vO/q8375YYwfxYyXB/89MVR3EtiHK70H/PtBRBjHA+/nPQ7KORltO0q2hyUMul92W/fMh8WNjc5QPp8YfS0n4PpGG9sL+cSjkzx5auz28/A8dy8udce/hzRtn4YdsN52b4+rX2nYRJFmuzAyDHV7ImPGGswwm4btszh+eD3gAytmlVIm8BvAF4HrwCtKqe9ord+842a/Bmxqrc8ppb4N/H3gLwAu8D8Dj2/9udP/Afw68D26xexXgN8f1Ndx1LXcgLrtb039evgK59tLdU6NF3YdDLAfay2X5U2blGXyS88vUuxxBaKST1ErpNloH24x6/gRXhixOPHwFoNtlXyaWqEbir4w1t9oMy+ICKOY6QEmGdxpexJYr6uH2+MjyzkpZh+mlJXRtqPEDboZ0TMDiiPcyVCKiVKaD241h/L5xGirdzxubNh4YcSXnpzl3HT5ga1aCbObhVzIWMzuGGAWxRrbD2jaAU3bZ7PtstHxqXc8VpsuOtbQ5xOekYbDjE0e5Mrsi8BlrfUHAEqp3wK+CdxZzH4T+F+2Pv4d4H9XSimtdQf4j0qpc3c+oFJqGihqrf9s69//AvgWUszuyg0i3l9u0Oj45HtYlV1vuaw0HL7y9HxfPv9G22V5o0MqYfCN509R2kMPqZUwmSxlWN483J5C2wuJY81ctfcXuHw6wVgxzfs3+z+ytDvGVg2twM+lk+TS3Ulg1XwvxWxEwjTIpaWD6WFMw2CynOVDGW07Elw/xDQMyj0kvvRLNZ/GUArHC8n0aQFBHD1rLZebmzax1nz9uVPMH3ARxDQUhbRFIW0xuyNmLoq7rU2DqDt7ybAflEH+9swC1+7493XgY/e7jdY6VEo1gBqw9oDHvL7jMWf7crTHTMcNePP6JlfXWsRaU8k//Am6YfuUslZfpn5tbr3LNE2Drz13iso+iq/pSo6ffDiY0/W96ngB6WSCSo8boKC7U3m2mufNa3XCKCJh9u8X3AsiLNPoqVWjH3LpboRQ0wl6KqC9ICKZMEgn5YW5FxPFDAnDoOMFD+wjF4Nn+yHppDnU/4du32w3b1aK2ZNHa82thsNK3SGVNHj52UUmBjRGeZtpKMxDej0dpEF2BO+2iL3zzUAvt9nX7ZVSv66U+qFS6oerq6sPeMjjp2H7vHZ1gysrLbSG+Vq+p81CZyaL/A9ff2JPhdtu6h2PpfVuH9jXnl3Yd8xNJd8dQnBYM8yjOKbthtQKqXuycB9mrJCmkkux2uxvvJgThGQsc8/Hs19ZK0EuleiuCD+E1hrbDyllrJ5aWgSUchbVfIr11uH8jIuuMIqxvZDxUmaoP7uFTJJS1hq5ITFi8OJYc2PD5uamTSGT5Jsvnh54IXucDbKYvQ7ceb56Drhxv9sopRJACdh4yGPOPeQxAdBa/6bW+nmt9fPj4+N7PPSja63p8vrVdT5caZIwDWaruZ6meIVRTKz1geOUmrbP9fUOWsPXnls4UC9gLtU9Xb/XnNN+sb0IP4hYnNj7KZ9i1qJWTNGw+5cjGkYxrtcdYzus2CulFLV8uqdiNohigiimVhhs/u1xkkslKOdTdDwpZg6TG0RDGZawk2kY1Aq9/X6J4yOKY66vt7nZsJkoZfjGC4uUc/K8eRCDLGZfAc4rpU4rpSzg28B3dtzmO8Cvbn38K8B3H5RMoLVeBlpKqZdU99X8LwP/b/8P/Wha3rR58/oGV1fbZFNJpirZnouen13Z4B9856c0D1B8tZxuIRvGmq8+O8905WAjIZVSzFTyW5uehv9kb3shWsNcrffNX9u68WK5bs9tn8I2vDAiiAc7xnY3lXwKrTX+Qyay+WFMGMWMS5JBz5RSTJezuF5EfJi7J0647dHCh5FrPVZIE+kYXwraEyEIY66utVlpupyZKPDV504NJdf4uBtYMau1DoG/Bvwh8Bbw21rrN5RSf1cp9Y2tm/1ToKaUugz8deBvbd9fKfUh8L8Bf0UpdV0pdWnrqv8O+CfAZeB9ZPMXWmuurrZ4Z2mTq2sdSjlrz6cr3l7axDQMCpn9/VK13YDr6x38MOLlZ+aZ7dOO4FohRTGXZL09/Glg3X7Z/W8ImShlyKeT1Pt07F4QE0eaySGfisqlE+TTyYdONfPDGK051PSJo6hWSJNLJ6l3RmPi3Unk+iHJhDGwQScPUswmKWdTbMr//7HnBRFXVlustzweW6jw+Sfneo58FA820C5grfXv0Y3PuvOyv3PHxy7w5+9z38X7XP5D7o3rOrFirfngZpMrqy2WN7unLPb6hOyHEe/favLcmfF9nb7ueAHX1tq4fsiXnp7n1PjeVzLvp5yzqOW7k5ImS8NbNQmjmI4bMF5M73uHZjdeLMV626PahyECXhBhmmroL7i5VJJi1qLl+A8chuCHEYahJAB+j7Yjuuq235efE7F3HS8kk+xOVRq2QsaimLXYaLlM9i/eW4yY7WEILSfghTNjPH9+YuCDb04S+U4eYVEc885SnfdvNrlZt5mp5vZV6Lx/s0kY6X2lGNheyLW1No4f8YWn5jg7VdrzYzyIaRhMV3I4/nBnmNt+iBfGLE4W9/0YSdNgupKl4/an59cNQqyEOfQX3Ixlkk0l8MIHzwX3w5ikaZC2ZKVhL1JJk7FCBlv6Zg+FH0a4fsj0Htqy+ilpGlTzKdyHtPGIo6vlBFxZbdF2Aj7x6BQvXJiUQrbP5Lt5RPlhxJvX63xwq8l622Wult/3oIO3lupkLJNT43trDXD8kKtrbWw35LOPz3B+ejDLChOlDFbSfOhp7n5ytgqLnRl9ezVVzpIwDVrOwTaC6dtjbK2hjyVUSnU3qfgPfrF1vJCslTjUrMGjaqqcIYzih/Yli/7bnvw1VzvY7/pBjBfThFE3/1McL/WOx7W1Nl4Y8cWn53hqcezQR7QfR1LMHkFuEPHG1Q0+uNmgafvM1/IHimp6ZrHGl5+e39M7RTeIuLbWpuMGfOqxmb5k095PZavVYG2I8UUdr5s5uZdBD7up5lOMFw8eL+aHMUEYM146nNPQ5WwKFPfdpBJGMV4QUZUkg30p51KUcyk2WtI3OWyuH6GUYvwQY5GKWYtCOkHDPpzkFjEYa02Xa+sdwjjma8+eGtiCj5Bi9sjpuAGvXVnng5UmbhizMJ4nmTjYf+PpySLPnB7r+fZaa66vt2naPp94dIrH5isDPT2XthKMl9LYfTpd/zBBFNN2AyZK+++X3dY99uyBj93big6aOqSxp/l0knw6SfM+K8x+GBPEMWPS87kvxWySaj5F44Ar+GLvXD8kuTUa9LAUMxalnHXf3y9xtGitublpc2OjQ9JUfOvF0wee6iUeTIrZI6Te8Xjt6gYfbg9DqOYO3Hfz7o06NzY6e7qP7YW0nIBL8xWePFUbSp/ZTCVLqPVDT3X3g+OFeEHE4vj++2XvNFvNEWqN4++/J9ILu2NsH7QBa5Dy6QSFzP0TDfywGy213wEZJ51pGIyXMjjecHvDTzqtNR0vpJhJHuqu8lTSpJxN4Q7h+U0M1u1hCPXuMIRf/tgZGYYwBFLMHhFrTZc3rnUL2eQehiE8iNaa3/3RVf74jV3nTtxX0wmI4phL89WhbZio5tNU82lWW87AP5fthSgFM30KUK/kU4wV0qwdoNVg2GNsd0olTfLpJP59NoFtX17KSl7ifk0UMyRMJQMUhsgLu+0xMwfsje+H8WIGLwyJJG/4yLpzGMJkKcM3Xlw8cKua6I0Us0fA9jCEK6ttcnschvAgt+oOddvfU79rHGsatkcxkxzqKeX81udrDaHVoOMFpK0EpT5NZCmkk9QKaZoH2MBm+xFpyzy01aPuJLAU7n16Zv0wImkaQ51rf9x0Y+hktO0wuX54KJO/dlPOWeRSFk1b+qaPoiCMubraZrXpcmaiyMvPnZLnwyGSYnaEaa25stri7aVNrq62qeSsvm4AemupjgIuzvRezLa9gI4XcmG6PNRd9YZSzFSzOF5IFD04Iuoggiim44VMlbIk+/T1KaWYrebx9znJLIpjXD9krJg+lOigbaVcCkOBF9y7cugFEamkiSUB4PuWTSWo5NN0XFmZHRbXjzBMNRLtMYWMRSlr9XUEthgOd3sYQtvjsYUqX3hKhiEMmxSzIyrWmss3m1xebrC03mGilKHS58lKby9tMj+W39Op65YdAIpz0/3Nk+3FWCFDIWOxOcAne3urX/b0ZH+b9ceKKUo5i7Xm3lddvCAmiOKhT/7aqbsJzLpnhTnWGtuPKOcsiZw5AKUU05UMbhDKaNshcfyQlGmOxDjRbCpBKWfd9+yHGD1hFHOrbvPBzSZ12+eFs2N88tHpvi2EiN7Jd3wEfTQMoXGgYQgPYnshG21vTy0GURzTcHzKOetQJhWVchbVfIrNAcYXdftlVd9TA0rZbt/sflZdvKC7uWrykJIMtuXSSQrZxD2bwIIwJoxiaoXDX9066ir5dPcN2wkebeqHEe8tN1jaaA/088Rxd/NXJZ8ameJjopjG9SPiI7QJMIximrZ/ot6ARXHMatPh8s0G19baJEzFl56e44Xzk5gH3Msi9mf4s/vEA/lhxDtLda6utal3fOYOmCF7P9lUgv/pW0/v6Qmo5QTYXsjTi7VDWYHbnqh1bW1wL3IdLyBrmZSy/c1LNY1um8Tlm01irff0/fOC7pjYw95IkE6a5FPJezJz/TAijGLGixLLdVDl3NZo2453aMkVh2l7J/hmx6Pe7r5ROjVeGEh7zfawhFHol91WzqWwkiYdNzgSY6H9sJs3Xu/4mIZibixPNZc68ObkURVrTb3js9Z0aDo+uVSST12a5pG5igyLOWRSzI4Q1w956/pmd6qWF3YzZAe4YpA0DdjD71/LCTAN+j6ydi8mtyZqtd2g7zv7/TDCdkNma7mB9ANPlLLkUgnqbW9PK9teGGGZJpl9Tnjrp1oxzTtLDbTWtwsMP4xBQyU/+i++o85KdEfbLm8OPrVjFN1qOKy3XR6dKzNdzvGnby6jdYvFif4XtG4QEcUxM7XRyf8sZi0qWYuNtjfyxazthVzfaNPsBDwyV8LxQj642eR60mC+lqdyjIparTVNJ2C16dCwfZKmwYvnJ3lioUpmyOPFxe7kf2FERLHm9WsbXF1tE8SahfH8wGY3217Iv/gP7/Klp+c4M9lblmoQxTRsn7FChmLm8PrLKrkUY8UUay2n78Ws40d4YcSZiUJfH3dbOWdRK6ZYb7s9F7NaazpuQDGbHIlToaVs9wXKDaLbT+J+GGMmDPLp0X7xPSrmajle/XCN5c0O05XDj4walnrHY7XpUMun+OQj06StBKah+OPXbxCvtDjT54LW9UMSpkE5Nzo/t9lUgkLWYmmP2d/D1nR8ltY72H7Ixx+Z5KnT3RGty5s2r1y+xfs3m6SSBnO1PJV86kj30recgLWWQ6PjoxQ8uVDlmTPjhwiFbUUAACAASURBVBaTKHYnxeyIWG+5rDVd/DBmYSw/0He0796os1y3Se3htEjLCXC2nrgOc0d9NpWgVsjw7o163x/b9kIMQzE9oMxJK2EyVc6xtG73fB8/jPHDmNMjcgo/n05QzCZp2f7tYtYLQizDIGPJabZ+mK3meO7MOH/2zi0yyQTl/PEfEez4IcubNgrFF5+aI731s/XoXHe64H94fYkPbjU5M1ns2/OP7YekEuZIxScZSjFRTPP+8t1nP0bJRtvlxoZNGMV86ak5zk2Vbh/ndCXLN144zY2NDj+4vHK7qJ0fy1POHa2i1vZCVpsO9Y5HFGvOT5d44dwE5T5FNor+kmJ2RCxv2qy3XKYq2YGfmnn7Rp1iJsn0HnrFmraPlTCYHxvMquVezFSzvH51gyCMSPaxT6ntBmSt7qSrQZmuZDEN1XObhBdGBFHM1Iis0OVS3bG2DdtnYusyx4/IZ5MDO5Nw0iilePbMGE3b543rGzw+XyM7Ai0mgxLFMUsbHTpewFeenr9nI+Ejs2UMBd99bYn3bzY5O3XwgjaMYmwvZLqSG7kNO9VCGtM0sP2I3Aj9v2utWWk43Go4GIbBN55fZKa2+/PSTDXHt148zfX1Nj+4vMLl5SappMn8WG7ki1o3iFhrOmy2ve7i0niel85PHno0oniw0flNOcEadrehXCk18FWCIIy5vNzk6dO9b+Lygoim4zNVzo7EqZVaPk0ll2Kt5TFd6c/mDT+MsL2AU+OFgRZl1Xy3TWK12VubhLcV0zMqm4FSSZNCxmKl2e3pDKIYP4yYvc+Lmtgf0zD45KVp2l63j/7JU9W+vnEbFVprljdtGh2fZ8+M37cf/8JMGaXgj15b4vLNBmenSgcqiNwgGplhCTsVMhblXHcT4KgUs3GsubHZYa3pUsxYvPzsfE9RkXO1PHO1PNfW27zyXreoTVsm87U8pRGL8vPDiPWWx3rLxfUjpipZfuHCBNPV3Egdp9idLKWMgOVNm/W2S2UIvVsf3GoSRDGP7iGSq+UEeEHE4wvVAR5Z74pZi2ohRaOPk3JsL+yezu+xh3i/MlaC8WKWTo+TzPwgJpk4vDG2u6nmU3h+hNYaP4gIIs34CITOHzdWwuRzj89QLaR5a6l+LKOP1tseay2X2WqO58+OP3Dl6/x0mS8+OYfthVy+2ThQfJUbdOOv+vVmuJ/y6STFjIU9hGmHvQijmGvrbW41HCZLGb754uKeM8/na3n+3Etn+OWPnaaaT/PucoM3rm5Q73joQ44h62bFOly+2eT6eodcKsHXnl/glz92mtlaXgrZI0KK2UPm+iErDRvPj/seB7WbjGXy+HyFU+O9tws0bI9U0hyJ+eWwNQ2sksP2+pfHaHshplJDGUwwW80Sxvr2quuDOH5IJpkYqX7UUtYimTBuRxvpWFM7AX2dh6GQsfj8EzMkDMV7NxuHfTh91XEDbm52e/c/9+RsT9FGZ6dKfOGpORwv4vLy/gta1w9JJoy+53f3g2koxoppnBEYnuAFER+utlhtOFyYLvHV504daMDE/FieX/mFM3zrxUXKuRTv3mjwxrXNQylqo1iz1nS3smJbmIbiy0/N8iu/eJbTE8WRaz8RDzYa5zBOsJt1h42WRzGbHEqMycJ4gYU9FLKOH9J2AxbGCiMVQTJRynRjrjoe1T5MRuu4Idl0YihxONV8mmo+zWrTYe4BsUBRHGP7ITOV7Ej1auXTSQqZbt+sApShRrIoOC4mSlk++/gMf/jT61xdbe3p93dUBWG3T9YPY77x/CmKe/i9OztZwnhK8f/99Drv3mhwYWbvLQcdLyRrJciO0HPanWqFNFrDzc0O46XMofSj217I9fU2TSfg2bPjvHhuom+RhafGC5waL/DhSpPvv7fCOzca5FIJ5mvdAUGDfL67Myu25fikrSSfvDTNI7OVgWS6i+EYzd/kEyKKY27WbZqOP/DT28Dt6VN7Cd9vOQF+GPPYfGVQh7Uv5ZxFtZhio33wYtYLImw/GNq78UImyVghzZWVJtQedFzdMbYThzzGdqdcOkE+bbHRdkklTJKmcaw3KI2C05MlfvFiyJ++cYNsKsHYEW7riHW3/7LpBHz84iRzY3vPeT09WeRLz8zz735yjXeW6lycLfdc0PphhOuHnJ7oXzJCv01XspybLvLG1U1ubNrMVvPUCqmB5F/vpmn7LG10cPyITz46xROnBjMoZ3GiyOJEkQ9XmnzvvRXevtEgn04wV+2tqI21Jo41sdZEW3/H8f0u7/7t+hENxydpGLxwboLHF473BsuTQv4HD9Fqw2Wj5ZJNDSdD9Hvv3uIH763wN3/56Z5O6Wmtadg+WSvB1Ij1llkJk8lShuWN3mOu7sf2Q/wg5vTkcFa8lFLM1bK8s7RJGMX3fYHywog4OvwxtjtZCZNCJsmtuk2sNRnLlOk3Q/D4QpWm4/Oj99dub8Q7ilYbDmstl/PTJZ5cfMC7uYdYHC/w8rPz/MGr17sF7Uy5p7Nb2+0xcyO8adFKmHz+iTmeOFXlJ++v8e5yg+vrbaYrWcaLGZKJwb1erLdcljdtwljz5afnhjIkZ3GiyKnxAj+/1eL7l29tFbVJxgqpj4pR3e1vjaKYMNZEcUwUa7SGWHdfr2Ld/fftnwIFKIWpuu1pSilMQ/H4QpVnT48PNLlGDJcUs4eku4u3w0bbG8pOcK01by/VWZwo9Fx42H5Ixw24OFseyWJlupzjVdaxvYDsAVIgbC/ENA0mSsMrGmuFDMWsxXrbZfI+n9cLIgxTjWSu4VghxetXIkxDjeQmmuPIUIqXzk/SdgLeXmrw5KnqkTst2rB9VhoOlWyKT12aPvDp8/mxAl95eo4/ePU6b9/Y5JGZykMLWtePUEoxPmJnPHYzUczy5WcWePG8y48/WOOt65ssbdpMlzNMlDJ9fV6OtWal7rDScEgmDL7+3MJQIwGVUpyZKnJ6ssD7t5q88t4K19Y7mEphKIVhgGkaWKYin05iJQxSCRPLMkknTFJJk7TV/Ttpdq9LJgySpoFpKkzDwDS6xaxs6jp+pJg9JPWOz1rLxTTVUHpRV5suG22PX7w41fN9mnZAGMc8OjtaLQbbKvkUtUKatZbLwj6LWa01bTcglxpsvuxO5ZzFWCHNct15YDFrmeZIngIrZCyshEHbCxkbkYEOJ0HCNPj0pWnabsCb1zZ5crF6ZPJ93SBiebNDpOFLT8/17XlvfqzAy88s8IevXuXtpU0uzlYe2C7k+iFJ0zhSK9uVfJrPPznHi+cnePXna7x2dYPlTZuJUobJcpb0Ad/URLHmxkY3equcs3j52YVDexOtlOLcVImzk0UcP8JQYBiKhGlIESru62g8Cx5DN+s2Gy2P6pCeMN5a2gTg4mxvp4xirWnYHoV0cmSLlVwqQa2QpuWE+34ML4xx/JCZanaoT5SmYTBTzeF4wa47srXW2G5IIZMYiTG2O+XTSQpZC8cLjsQK13GSSSX5/BNz5DNJ3r7eOPRoo15EcczSepu2G/KZx6b73vM7V8vx8jMLaBRvL20S3SfGTGtNxwspZpIHLgAPQyFj8clLM/yVz17k+bMT1NseP/1wnZ/fauL4+3seDKKYa2ttbjVsZmo5vrGVNHDYlFJkUwnSVgIrYUohKx5o9F4lTwDbC7nVsPHDiMKQdoG/s1TvNtX3uBrRcQNsL+L8THlomw72SinFbDWHH0SE0f5ibBwvJBhiv+ydJkoZMluJDDsFUYwXRSO3+WtbNpWgkE6SSJh72lAo+qOST/G5J2aI0Xyw0jzsw3mom5sOmx2PJ09VuTDTe8b1XsxUc7z8zDwKxdvXN3YtaL0wxgui+06uOiqyqSS/cHGSX/3sRT7xyCQdL+C1Kxu8t9zoOcMauqvlV1ZarLVcHpkt8/Iz8yM13leIXo1mlXLMLW92V2XL+eFNQPmvPnmeX3r+VM+3bzoBaM2F6cE3/x9ErZCilLNYb+9vgILthSRMNdR+2W3bbRIbuxy7tzWh6H4tCIfNSpgUsxaljCUvfodktprnU5emaHQCljc7h30497XRdllrOUyXs7x0YXKgz3kz1RxffW4epQzeur5JFMd3Xe/6YXfy1zHp805bCZ47O8Ff/sxFPn1pmjCKeePaJm8vbdJyggeu2nfcgA9XWjRsnxfOjvHZx3vL+hViFEkxO2RBFHOrYdP2Aiq5u0/fx7Ee2CnDfDrZcyJBFMc0bJ9SLrXnSS/DVspa1PIpGm1/z/fVWtP2fHKZ5KFM2LISJlPlLLZ77+lBL+i+CI9qiwfA4kSBhfE86REa6HDSXJgu8+K5ca6vd9hou4d9OPewvZCbmw6mafKFp+aHUixNlXN87bkFTNPgzWv1uwpa1+9uqjzK0Wa7sRImT50e4y995gJfeGoOpRRvXt/kraU6Tdu/53Wl3vG4strG9gI+/dgML5yfPDK910LsRn56h2yl4bDedsmnknedvvfDiH/4b3/G9fXuCst7yw3+n//8Pn/wk2v853du8vrVDa6stgii+H4PfV9/9NoSb1zb6Pn2bTfE9kIenSuP/BQU0zCYquSw/XDPbwS8IMLxIuYPcWThTCWHUor2jlODXhCRNA3yIxwdM1vN8eWn56WX7RAppXjmzDiPLVS5vNzA9vbfP95vQdQdjOD6IV98cnao7SiT5SxffXYeK2HwxrVuBB50h8CkTPNAU6xGWcIwuDRX4S996jxffXaedNLkraU6r1/bYLPtEmvNatPh2nqHMI756nOneHyhKr/D4sgbvW3Sx1i8FcdVb/vM7wgK/+mHGzSd4Hafl+2F3Ni0ad1o3FXA/o1fepJk1uLP3r3Fqz9fo5CxKGaSt/9+arFGwjQIoxjTULhBxH986ya/cHGSx+arPR1n0/YxDcWZIQxy6IfJUgYradKw/T1tXLD9kCCKWTzEiUqVfIqxQoq1pnPX6rAbhKSS5khNXROjyTQUn3hkirYT8Nb1TZ44VT3008Wx1ixvdGh0PD52cYqFfQxGOKjJUpaXn53n939yjTevb/LobIWOF1LJp0ZyU2U/GYbB+eky56ZKfLjS4pXLq7y33CSZMFAK0kmTl585NXIZ1kLsl7xSDtFm22Oj5WGZxl07abXWfP+9W0xXspwa7z7pP7VY46nFGlpr3CCiaQe0HP92wZNLJShmLVp2wI2NDh0vxFDwzOkxAH7/J9d49cM10skEsdY8Otvbposgimk6PrV86shs7CnnU4xt9Z7uqZj1QhKmcainHLOpBOOlDG8v1W9fFsUa2wuZKGdkxUT0xEqYfO7xGf7tj652C9qF2lDGY9/PWtNlveVxerLIM4u1Q5u0NVHK8rVnF/jdH1/ltavrgGK2enIKOKUUpyeLnJ4scn2tzY9/vkYQxnzxqTkZQS2OFSlmh+hm3Wa97VLb0Yf6/q0mq02XX35x8Z4nfaW6ObQZK8Fk+aOi68lTNZ489dH0nDCKuwXt1gvY+ekSVsKg5QRYCaPnwQwtJ8D2Qj52fnJkRz3ulE6ajBczrNSdnu+jtabtBBQySXLpw/01mK3leP3qBl4YkUqY+GFEEGmmRnTzlxhN+YzF556Y5Xd/fIV3l7sTsQ7jd7jldAcj5NJJPvP4zKGnoYwVM3z9uVP83o+ucKvhMFMb/irxKJgby+9rdLAQR4EUs0PSdgNWGg5xzD3h/N97d4V8OsHjC721AewmYRp3raQ+MlvmkR5XY+/UcnySCYNTh3jqfT9mqll+emUNz49I9bAhyQ0i3CDikYnCoa9+VvNpqoUUaw2H2VoeL4iI4viuNy9C9GKilOEzj83y7169ytW19tB/j70gYmnDJoxivv7cwsgkXdQKab7+/CKvXV1jrDC6myqFEPtzvBuHRsjNTZuNlkspa92zWvLC2XG+/NT8oa9g+GFE0/aZKmWP3MzqSj5FLZ9mtdXb6qzthfhhzOLE4RfthUySsUKGptNNZPCCCEON5hhbMfpOTxT4hYtTrDYdVhu9n604qDjW3Njs0HYCPnFpaqijUHtRyaf41KXZkZyoJ4Q4GClmh8API2417K3NB/f2KV2cLfPkYm2Xew5X0wlwg+hAK8SHpZBObk0D6y2iy/ZCrOTh9stuM5RipprF9SPCqBvqnkwY8qIr9u3xhSrPnh7n5ystmvbeY+v242bdZqPtcWmuzKW5o/ccIoQ4uqSYHYJbdYe1Znc07J1Zfq4f8t3Xlu6JZTosTdsnlTB77q8dJWqrIHT8iOgh8WWx1rTdgEI6SW5ECsbxYoZi1mKj7dLxQvLpxKHvSBdHl6EUL56f4OJsmXeW6rj7HHXaq82Ox1rTZbyY4RcfnT701h0hxMkixeyAxVpzs27TsD1qOwLwf/zzNf7kzeWhrZw8iOuHtJxuZNhRjYMaK2QoZCw2Og/+frp+t192fiw/MpvcyjmLWiHNStPFCyPGRnSMrTg6EqbBpy9NMzuW483r9dtZq/3m+CE3N21Q8MUnZ+9KahFCiGE4mlXLEbIdUZNOmnettMWx5gfvrbAwlmemevgroU0nwA81l+YGMzd9GMo5i7FCemuF6P6bPBw/JAxjTk+MTo6uaRhMV3K8d6MBCqYl/1H0QdpK8PknZvk3r1zh7aU6Z6f6+zOvNdzY7GB7IV95Zn7kJwYKIY4nKWYH7Ga9u/Fr5870d5frbHZ8vvjU3CEd2Ue01jRsn6xlMj0ChfV+JUyDqXKGq2utB97O9kKSCYNqYbQ2WE2WM+SzSdabruy4Fn1Tyqb43BOz/N6Pr/KzKxv0O3421pqPnZs4MkNWhBDHjxSzA9S0fVabLih9z/jE7727Qilr8chs5fZljh9iJYyhz8h2/IiOG3B+unzk+zQnyllMw6Dt+OQz9262i7Wm5QYUsxbZEWunqG4Nf+g4AcVdjl2I/Zqp5vjWxxa5sWmj472NfX6YjJXg9GRxZFp2hBAnz2i9mh8z26uyOyOWwigmYyV46UIJc2uZJIhifn6rRRjHPDZfvX35MDRtnzA+2i0G2yq5FGPFFKstd9di1vUjXD/iwkxp5F58rYTJTCWH44VkRmRjmjg+xgoZxgrSiy2EOH7kFXNA3CDiVsPBDUJmd5y6T5gGf+HjZ++6rOUEdLwAK2nyzo3uHPFhFFux1jQcn9zWWNWjLptKMFa4ezzsnWw/JIpiFscOP192N8+eGePCTEl2gwshhBA9kjSDAbm1tSpbzFh3zUi3vZDV5r1B5tuTtz796DRhqPlwpT2U4+y4IR035OJM+dCHNvTLTDVHEMX4YXTPdd18WZPqiPakKqUoSIuBEEII0bPjUb2MmCjejuPyqe7Y3fvK+yv8xu+/Qb3j3b7szslbj8xV+OSlaTbaLrfq9sCPteX4xFpzYaY08M81LNV8imo+xXrLu+vyONa0nYBiNikDCYQQQohjQorZAVhtOqw3XTKWSTLx0bc4imNeubzKmcniXX20ra3JW5fmu5vBHpkt8/y5ca6stqnb3j2P3y9R3E0xqGStYxWpU8xaVPMpGju+d04Q4gYRi+P5QzoyIYQQQvSbFLN9prXm5qbNRsejtmOzxZvXNmk5AS9dmLjr8sbW5K25WrfIUkrx/NlxHpuv8O5SHdsbzPSethtgeyGPzFWGuuFs0LrjYXPYfkSsP9q5bXshYRyzMD6a/bJCCCGE2DspZvusYfust1xMpe45lf29d1eo5VOcm/7olL4bRLSdgLla7q7bm4bBJx6dZmG8wFtLmwS79H8eVNP2UYq+B6mPgvFihpyVoN7+aHXW8UJSCfOe1g8hhBBCHF1SzPbZzbrNasulkr87jqve8bjVcPjYhcm7dqq3HB8v/KjF4E6ppMnnnpilkkvx9lL9rlXGgwqjmKbjU82nKGaP34ajcs6iVkyx0XaBbktFyw2o5FNHdlyvEEIIIe4lxWwfOX7IrbqDH8b3FIjlXIq//ktP8szp2l2XN2yfjJVgqrL75K1ixuLzT8xiGor3lht9O9aWE+D4IY/PV49lDJSVMJksZbH97oq263f7ZU9Jv6wQQghxrAy0mFVKfUUp9Y5S6rJS6m/tcn1KKfWvtq7/vlJq8Y7r/vbW5e8opb58x+UfKqVeU0q9qpT64SCPf69ubtqst11KmeRdBWIUx0A3A/XOCVu2F9J2AxbG8qST95+8NVnO8pnHZnD8kGvr/Ynsajo+CcNgYeL49o9OV7IA2F6A7YfEsWZhTIpZIYQQ4jgZWDGrlDKB3wBeBi4Bf1EpdWnHzX4N2NRanwP+IfD3t+57Cfg28BjwFeAfbz3ets9qrZ/WWj8/qOPfqzCKuVm3aTsBtR0Zpn/8+g3+z3//FmEU33V5y/EJwpjHdmkx2OnMVIlfOD/JrU2btV1yavfCDyOaTsBEKXusx6ZWcilqhTSrTRfbC0klTSo7prEJIYQQ4mgb5Mrsi8BlrfUHWmsf+C3gmztu803gn299/DvA51V37NU3gd/SWnta658Dl7ceb2StNBw22i65VOKu4QNBGPOj99fIp5N3Xa61pmkH5NPJnidvPbFY4+nFGh/catFy/H0fa8sJcP2QxxceXkQfZd1pYGlabkDLCajmU6SlX1YIIYQ4VgZZzM4C1+749/Wty3a9jdY6BBpA7SH31cC/U0r9SCn16/f75EqpX1dK/VAp9cPV1dUDfSEPo3V3SMJm279nVfZnV9ex/ZCXzt8dx2V7IW0v4Mxk4a7WgwcxlOJjF6c4P1Pi7RsNvGB/CQc7o8COK7UV0eX5EY4fckoiuYQQQohjZ5DF7G67inZux7/fbR50349rrZ+l277wV5VSn9rtk2utf1Nr/bzW+vnx8fFej3lfNjseay2XhKnuWvnTWvP9d1eYLGVY3NGb2nQCoijm4uzeVkeTpsGnL00zXc7w5rVNonhvCQf3iwI7rmqFFJV8Ci+ImD/mxbsQQghxEg2ymL0OzN/x7zngxv1uo5RKACVg40H31Vpv/70C/GtGoP1gedNmfZc4rg9XW1txXBOoOzaExVrTsD0KmSRjhb1nnmZTST73xBy5dIJ3ljbRe4js2o4C66VP9zgoZS1q+RTlXOqe/x8hhBBCHH2DLGZfAc4rpU4rpSy6G7q+s+M23wF+devjXwG+q7uV2XeAb2+lHZwGzgM/UErllFIFAKVUDvgS8PoAv4aH6ngBqw2HKNL3bKaareb4xvOneHLh7jiujhvQ8UIuzJTv6qPdi2o+xeeemCWKNT9fafV0H631Q6PAjhvTMHj8VJWnF2ukHpAYIYQQQoijaWDnmbXWoVLqrwF/CJjA/6W1fkMp9XeBH2qtvwP8U+D/Vkpdprsi++2t+76hlPpt4E0gBP6q1jpSSk0C/3prlTMB/Eut9R8M6mvoxc1Nm/WWRyln3bX6Ct2s0+fO3tvi0HQClIbzd0wC24+5Wp5PPjrNH72+xPJmh+mHFKiOH9F2A85NlU5UYTdbzTNblRYDIYQQ4jgaaNOk1vr3gN/bcdnfueNjF/jz97nv3wP+3o7LPgCe6v+R7o8fRtys23S8kKnK3T2x/+ntm1gJkxfO3V3MRrGmafuUshaVPoxVvThbpuUG/Nk7t8gkE5QfcCq96fiEoeaxuZPRYiCEEEKI408mgB1AN47LI59OYBoffSu9IOJP3lzmyuq9p//bboDthTwyV8E0Dj55SynFs2fGeGy+wrs369heuOvt4q0Wg3wmyViPUWBCCCGEEKNOitl9irVmedOm3vbuieN69cN1vCDipQsT99yv5fgoBWenin07FtMw+OSlaU6NF3nr+iZBeG9kl+2F2G7IuakiyX326QohhBBCjBqpavZpo+Wx0fawkuZd/aex1nz/3VvMVXP35LiGUUzD9qnmUxSz/Z28ZSVMPvf4DNVCmreW6sQ7Iruatk+sNRdmyn39vEIIIYQQh0mK2X1arttstFyqO3pULy83WG97u6/KugGOH/LofAVDHbzFYKdCxuLzT8yQMBTvLTduR3ZFcbfFoJS1qBUknkoIIYQQx4cUs3uktWaj7bLadIi1Jp9O3nV9Kmny6GyZS7vkuLZsH9MwOD3RvxaDnSZKWT77+AxOEHJtrQ10o8BsP+TibOmu3l4hhBBCiKPu+I+A6oNYdxMINtoe6y2XRsdnre1SzqbuieM6NV7YdWxqEMY0nYDxYobCjgK4305PlvjFiyF/8sYNMlYCL4xQwNnJg0WBCSGEEEKMGilm7yOMYjY7Hpttj/W2R6Pj03Q8bC8ilTTJp5NUdpyyf/dGnZlq7p7VWujGYjl+yCcfnbynAB6ExxeqNB2fH72/RtYyqeZTD4ztEkIIIYQ4iqSYvYMbRGy2PTY7HutNh5YT0LB9/DAmkzIpZixmKsldp3bZXshv/+cPeOJUlW++sHjP9S0nIJUwmavdu2o7CIZSvHR+krYT8PrVDV68MDGQPl0hhBBCiMN04ovZjhuw0fbYaLtstD1aTrC18x9yqQRjxTS5VBLjIZmwP/5glSCK+dj5ezd+eUFE0/GZqmTIDbjF4E4J0+Azj80wWcpwbkpaDIQQQghx/Jy4Yna7/3Wz3Y3Wqnc8Go5PywkwlSKXSjJby5FOmj23A0Sx5geXV1mcKDBVzt5zfcsJ8IKIx+ar/f5yHiptJXjmzL0jdYUQQgghjoMTUcxqYK3pdtsHWi5N26dhe9h+hGUa5DMJTk8UsBLmQx9rN28vbdKwfV5+Zn7X6xu2RyqZYLaaO8BXIYQQQgghdjoRxWzHDXjl8gr1jocXRqStBMVMkulKbtf+1726WXeo5lNc3GUggeOHtN2AhbECaetEfLuFEEIIIYbmRFRXfhDRdn1qhTT59MP7X/fq80/M8slHp3Z93JYT4IeaS3MyeUsIIYQQot9ORDFrmgbzY4NJEbC9kGwqsWuLgtbdyVtZy2RaWgyEEEIIIfpOxkEdQNsN+Af/5qe8cnl11+sdP6LjBixOFPfdjyuEEEIIIe5PitkDeOXyKmGkOT25+6pv0/YJImkx4EqoywAACxBJREFUEEIIIYQYFClm9ymMYl65vML56RJjhfQ918da03B88ukEY6XMIRyhEEIIIcTxJ8XsPr1+dYOOF/LShXuHJEC3l7bjhpybLpHsQ2KCEEIIIYS4l1RZ+/TD91cZL6Y5O1nc9fqm7RPH8a5xXUIIIYQQoj9ORJpBP8VaYyjFtz9xjqbt7zolLI67KQbFrEWtkDqEoxRCCCGEOBmkmO1BGMV8cKvJW0t13r1R57/54iWKWYt8Ornr7dtugO2HPH92HNOQxW8hhBBCiEGRYvYB1lsu331tifeWG3hhTCphcH66RBDFD7xfywkAxbmp3VsQhBBCCCFEf0gxe4e2G/DOUp1S1upu3EoYfLja4rGFKo/OljkzWXzo+NsojmnYPtWcRSV/b8qBEEIIIYTonxNfzG52PN66vsnbS3WurrXRGp5erHFuukQxY/E3vvEUxi59sffTcgJsP+DZM7U93U8IIYQQQuzdiStmt0fMlnPdjVm//Z/e58amzWQpw6cuTfPobIWp8ke5sHstSFtOgGkoTk+W+nrcQgghhBDiXiemmL262uKtpTpvL9VpOj5/81tPYyVMvvrsArl0gmofWgKCqNtiUMunKWZ23xwmhBBCCCH650QUs2tNl3/63Xe6K6YTBT7+yNTt6+bH8n37PC0nwPFDXrowuWtklxBCCCGE6K8TUcwmEwa/8tJpzk+XSFuD+5Jbjk8yYXBqvDCwzyGEEEIIIT5yIorZUtbiiVO1gX4OP4xo2j5TpSwFaTEQQgghhBgKSfTvk5YT4AYRl+Yrh30oQgghhBAnhhSzfdKwfVIJk7la/3pwhRBCCCHEg0kx2wduENF2AuZqObKpE9G5IYQQQggxEqSY7YOW4+OF0mIghBBCCDFsUsz2QcP2yVgJpiq5wz4UIYQQQogTRYrZA7K9kLYbsDCWJ500D/twhBBCCCFOFClmD6jl+ASh5jFpMRBCCCGEGDopZg9Aa03TDsinE4yXMod9OEIIIYQQJ44UswdgeyFtL+DMZAErIS0GQgghhBDDJsXsATSdgCiOuTgrLQZCCCGEEIdBitl9irWmYXsU0knGCunDPhwhhBBCiBNJitl96rgBHS/kwkyZhCnfRiGEEEKIwyBV2D41nQA0nJ8uHfahCCGEEEKcWFLM7kMUa5q2TzlrUclLi4EQQgghxGFJHPYBjIpYa+JY3/F3t2iNtb7nOj+Msb2QJy9MYhrqsA9dCCGEEOLEOhHFbBjF3Ko7dxWlYRwTRppo6+841sRodAwx3X+jAcVHfyuFocBAkUslOCctBkIIIYQQh+pEFLNRrLm+0UYphakUSoFpKCzTIGMlsJIGqUSCdNIglTCxkiYZK9H9OGGQTBhYSYOkaZIwFKahME2DpGz8EkIIIYQ4VCeimK0V0vzqZy52i1BDYRqGtAcIIYQQQhwDJ6KYNQ1FPp087MMQQgghhBB9NtDz5Eqpryil3lFKXVZK/a1drk8ppf7V1vXfV0ot3nHd3966/B2l1Jd7fUwhhBBCCHFyDKyYVUqZwG8ALwOXgL+olLq042a/Bmxqrc8B/xD4+1v3vQR8G3gM+Arwj5VSZo+PKYQQQgghTohBrsy+CFzWWn+gtfaB3wK+ueM23wT++dbHvwN8Ximlti7/La21p7X+OXB56/F6eUwhhBBCCHFCDLKYnQWu3fHv61uX7XobrXUINIDaA+7by2MCoJT6daXUD5VSP1xdXT3AlyGEEEIIIUbVIIvZ3eICdI+32evl916o9W9qrZ/XWj8/Pj7+wAMVQgghhBBH0yCL2evA/B3/ngNu3O82SqkEUAI2HnDfXh5TCCGEEEKcEIMsZl8BziulTiulLLobur6z4zbfAX516+NfAb6rtdZbl397K+3gNHAe+P/bu6MQS+syjuPfH+sGqSGGGaKGGhtdBG4ydFFRXpRYF60GxkoXG13ohQvWleKNEgQRJUKWUbi0LmoIa7Z31oWUV+m4LOm6bi2y2OY6iyi2G0ns7tPF+w5O25xxLpr5v+873w8M55z/nPfwHJ55Ds+85zn/89wqH1OSJEkbxJrtM1tVp5PsBJ4GNgG7qupgku8B81W1D3gY2JPkCN0Z2e39sQeTPAG8DJwG7qiqMwDLPeZaPQdJkiQNW7oTodM2NzdX8/PzrcOQJEnS6q3q61rX9EsTJEmSpLVkMytJkqTRspmVJEnSaNnMSpIkabRsZiVJkjRaG2I3gyQngcOt49CqXAK82ToIrZr5GhfzNR7malzM19p4s6pufL87rdk+swNzuKrmWgeh95dk3lyNh/kaF/M1HuZqXMxXW44ZSJIkabRsZiVJkjRaG6WZ/UXrALRq5mpczNe4mK/xMFfjYr4a2hAfAJMkSdI0bZQzs5IkSZogm1lJkiSN1qSb2SQ3Jjmc5EiSu1vHo5UlOZrkxSQHksy3jkf/LcmuJCeSvLRk7cNJfp/kr/3lxS1jVGdGru5L8ve+vg4k+WrLGPWeJFcmeSbJoSQHk9zZr1tfA7NCrqyvhiY7M5tkE/AX4MvAMeB54NaqerlpYJopyVFgrqrceHqAknwBOAU8UlWf6td+CLxVVT/o/2G8uKruahmnZubqPuBUVf2oZWz6X0kuAy6rqv1JPgS8ANwEfAvra1BWyNU3sL6amfKZ2c8AR6rq1ar6N/BrYFvjmKTRqqo/Am+ds7wN2N1f3033oq7GZuRKA1VVx6tqf3/9JHAIuBzra3BWyJUamnIzeznwtyW3j+Ef3NAV8LskLyS5rXUwWpWPVtVx6F7kgUsbx6OV7Uzy534MwbesByjJVcCngT9hfQ3aObkC66uZKTezWWZtmjMV0/G5qroO+ApwR/9WqaT/j4eAjwNbgePAj9uGo3MluRDYC3ynqv7ROh7NtkyurK+GptzMHgOuXHL7CuD1RrFoFarq9f7yBPAbulERDdtCP0O2OEt2onE8mqGqFqrqTFWdBX6J9TUoSTbTNUePVtWT/bL1NUDL5cr6amvKzezzwJYkVyf5ALAd2Nc4Js2Q5IJ+mJ4kFwA3AC+tfJQGYB+wo7++A/htw1i0gsWmqHcz1tdgJAnwMHCoqu5f8ivra2Bm5cr6amuyuxkA9FtjPABsAnZV1fcbh6QZklxDdzYW4DzgMfM1LEkeB64HLgEWgHuBp4AngI8BrwG3VJUfPGpsRq6up3sLtICjwO2L85hqK8nngWeBF4Gz/fI9dLOY1teArJCrW7G+mpl0MytJkqRpm/KYgSRJkibOZlaSJEmjZTMrSZKk0bKZlSRJ0mjZzEqSJGm0zmsdgCRpeUnO0G0BtBk4DewGHug3ZpckYTMrSUP2r6raCpDkUuAx4CK6fWMlSThmIEmj0H/N823AznSuSvJskv39z2cBkuxJsm3xuCSPJvlaq7glaa35pQmSNFBJTlXVheesvQ18EjgJnK2qd5NsAR6vqrkkXwS+W1U3JbkIOABsqarT6/4EJGkdOGYgSeOS/nIz8GCSrcAZ4BMAVfWHJD/txxK+Duy1kZU0ZTazkjQSSa6ha1xP0M3NLgDX0o2MvbvkrnuAbwLbgW+vc5iStK5sZiVpBJJ8BPg58GBVVT9CcKyqzibZAWxacvdfAc8Bb1TVwfWPVpLWj82sJA3XB5Mc4L2tufYA9/e/+xmwN8ktwDPAPxcPqqqFJIeAp9Y5Xklad34ATJImJsn5dPvTXldV77SOR5LWkltzSdKEJPkS8ArwExtZSRuBZ2YlSZI0Wp6ZlSRJ0mjZzEqSJGm0bGYlSZI0WjazkiRJGi2bWUmSJI3WfwActJR5RKD9NgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 698.976x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 698.976x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "!mkdir -p individual-time-series\n",
    "\n",
    "sequences = [\n",
    "    ('Bacilli', 'CCTACGGGGGGCAGCAGTAGGGAATCTTCGGCAATGGGGGGAACCCTGACCGAGCAACGCCGCGTGAGTGAAGAAGGTTTTCGGATCGTAAAGCTCTGTTGTAAGAGAAGAACGTGTGTGAGAGTGGAAAGTTCACACAGTGACGGTAAC'),\n",
    "    ('SC72', 'CCTACGGGGGGCAGCAATTAGGAATCTTGCGCAATGGGGGCAACCCTGACGCAGCGACACAGCGTGGAGGATGAAGGTCTTCGGATTGTAAACTCCTTTTATATGGGAAGAATAGATGACTGTACCATATGAATAAGTACCTGCTAACTA'),\n",
    "    ('WCB1-03', 'CCTACGGGGGGCAGCAGTGGGGAATCATGGTCAATGGGCGAAAGCCTGAACCTGCGACGCCGCGTGAGTGATGAAGGTCGTAAGATCGTAAAACTCTTTTCAGGGATCTTAAAGCCTGTCTGTCAACAACAGGCAGGTCTGACTCTCCCT')\n",
    "]\n",
    "\n",
    "days = np.arange(0, 29)\n",
    "\n",
    "for klass, tax in sequences:\n",
    "    fig = plt.figure()\n",
    "    plt.title(taxonomy.loc[tax].Taxon)\n",
    "    \n",
    "    # set after the title so figure sizes are the same\n",
    "    fig.set_figheight(6)\n",
    "    fig.set_figwidth(6 * 1.6180)\n",
    "\n",
    "    mean = []\n",
    "\n",
    "    for i in range(4):\n",
    "        sub = matrix[matrix.Description == 'Digester%d' % (i + 1)]\n",
    "        mean.append(sub[tax].values)\n",
    "\n",
    "    plt.plot(days, np.mean(mean, axis=0), 'SteelBlue', linestyle='dashed', label='Mean')\n",
    "    \n",
    "    plt.fill_between(days, np.min(mean, axis=0), np.max(mean, axis=0), alpha=0.3,\n",
    "                     color='SteelBlue', label='Min-Max Range')\n",
    "\n",
    "    plt.plot(days, np.min(mean, axis=0), 'SteelBlue', alpha=0.3)\n",
    "    plt.plot(days, np.max(mean, axis=0), 'SteelBlue', alpha=0.3)\n",
    "\n",
    "    plt.legend()\n",
    "    plt.xlabel('Day')\n",
    "    plt.ylabel('Abundance')\n",
    "    plt.xlim(0, 29)\n",
    "\n",
    "    sns.despine()\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    \n",
    "    plt.savefig('individual-time-series/' + klass + '.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}